[Fix] Fix metafile and release new models (#8294)

* update reppoints readme and metafile * update openimages metafile * update faster rcnn readme and metafile * update convnext readme and metafile * update guided_anchoring metafile * update groie metafile and readme * update reppoints readme and metafile * update metafile * update metafile * release ld and mask_rcnn models * update metafile * update regnet metafile * fix markdown format * Update README.md * Update README.md * Update README.md * Update README.md * update md format * release lad
3 years ago · 35effe9c2d
parent 2d9f81af8c
commit 35effe9c2d
18 changed files with 127 additions and 130 deletions
--- a/configs/convnext/metafile.yml
+++ b/configs/convnext/metafile.yml
@ -1,7 +1,7 @@
 Models:
  - Name: mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco
    In Collection: Mask R-CNN
-    Config: configs/convnext/mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco
+    Config: configs/convnext/mask_rcnn_convnext-t_p4_w7_fpn_fp16_ms-crop_3x_coco.py
    Metadata:
      Training Memory (GB): 7.3
      Epochs: 36
--- a/configs/faster_rcnn/README.md
+++ b/configs/faster_rcnn/README.md
@ -34,12 +34,12 @@ State-of-the-art object detection networks depend on region proposal algorithms

 We trained with R-50-FPN pytorch style backbone for 1x schedule.

-| Backbone |   Loss type    | Mem (GB) | Inf time (fps) | box AP |                                                       Config                                                       |                                                                                                                                                         Download                                                                                                                                                         |
-| :------: | :------------: | :------: | :------------: | :----: | :----------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-| R-50-FPN |     L1Loss     |   4.0    |      21.4      |  37.4  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |        [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)         |
-| R-50-FPN |    IoULoss     |          |                |  37.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |         [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco-fdd207f3.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954.log.json)         |
-| R-50-FPN |    GIoULoss    |          |                |  37.6  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) |        [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco-0eada910.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco_20200505_161120.log.json)        |
-| R-50-FPN | BoundedIoULoss |          |                |  37.4  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco-98ad993b.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco_20200505_160738.log.json) |
+| Backbone |   Loss type    | Mem (GB) | Inf time (fps) | box AP |                                                         Config                                                         |                                                                                                                                                             Download                                                                                                                                                             |
+| :------: | :------------: | :------: | :------------: | :----: | :--------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+| R-50-FPN |     L1Loss     |   4.0    |      21.4      |  37.4  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |            [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)             |
+| R-50-FPN |    IoULoss     |          |                |  37.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954-938e81f0.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954.log.json) |
+| R-50-FPN |    GIoULoss    |          |                |  37.6  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |            [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco-0eada910.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_giou_1x_coco_20200505_161120.log.json)            |
+| R-50-FPN | BoundedIoULoss |          |                |  37.4  |   [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)   |     [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco-98ad993b.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_bounded_iou_1x_coco_20200505_160738.log.json)     |

 ## Pre-trained Models

--- a/configs/faster_rcnn/metafile.yml
+++ b/configs/faster_rcnn/metafile.yml
@ -276,7 +276,8 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 37.9
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco-fdd207f3.pth
+    # re-release
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_iou_1x_coco/faster_rcnn_r50_fpn_iou_1x_coco_20200506_095954-938e81f0.pth

  - Name: faster_rcnn_r50_fpn_giou_1x_coco
    In Collection: Faster R-CNN
@ -448,4 +449,4 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 40.2
-          Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco_20220320_085147-efedfda4.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco/faster_rcnn_r50_fpn_tnr-pretrain_1x_coco_20220320_085147-efedfda4.pth
--- a/configs/groie/README.md
+++ b/configs/groie/README.md
@ -42,7 +42,7 @@ The results on COCO 2017 minival (5k images) are shown in the below table.
 | :-------: | :-------------: | :-----: | :----: | :-----: | :---------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
 | R-50-FPN  | Faster Original |   1x    |  37.4  |         |            [config](../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py)            |                                                                  [model](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130_204655.log.json)                                                                   |
 | R-50-FPN  |     + GRoIE     |   1x    |  38.3  |         |               [config](./faster_rcnn_r50_fpn_groie_1x_coco.py)                |                                                         [model](https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715-66ee9516.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/faster_rcnn_r50_fpn_groie_1x_coco/faster_rcnn_r50_fpn_groie_1x_coco_20200604_211715.log.json)                                                         |
-| R-50-FPN  |   Grid R-CNN    |   1x    |  39.1  |         |               [config](./grid_rcnn_r50_fpn_gn-head_1x_coco.py)                |                                                         [model](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_1x_coco/grid_rcnn_r50_fpn_gn-head_1x_coco_20200605_202059-64f00ee8.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_1x_coco/grid_rcnn_r50_fpn_gn-head_1x_coco_20200605_202059.log.json)                                                         |
+| R-50-FPN  |   Grid R-CNN    |   1x    |  39.1  |         |               [config](./grid_rcnn_r50_fpn_gn-head_1x_coco.py)                |                                             [model](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059-4b75d86f.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059.log.json)                                             |
 | R-50-FPN  |     + GRoIE     |   1x    |        |         |            [config](./grid_rcnn_r50_fpn_gn-head_groie_1x_coco.py)             |                                                                                                                                                                                                                                                                                                                                                                                                                                              |
 | R-50-FPN  |   Mask R-CNN    |   1x    |  38.2  |  34.7   |              [config](../mask_rcnn/mask_rcnn_r50_fpn_1x_coco.py)              |                                                                        [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205-d4b0c5d6.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_1x_coco/mask_rcnn_r50_fpn_1x_coco_20200205_050542.log.json)                                                                         |
 | R-50-FPN  |     + GRoIE     |   1x    |  39.0  |  36.0   |                [config](./mask_rcnn_r50_fpn_groie_1x_coco.py)                 |                                                             [model](https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_groie_1x_coco/mask_rcnn_r50_fpn_groie_1x_coco_20200604_211715-50d90c74.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/groie/mask_rcnn_r50_fpn_groie_1x_coco/mask_rcnn_r50_fpn_groie_1x_coco_20200604_211715.log.json)                                                             |
--- a/configs/groie/metafile.yml
+++ b/configs/groie/metafile.yml
@ -43,6 +43,7 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 39.1
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/groie/grid_rcnn_r50_fpn_gn-head_groie_1x_coco/grid_rcnn_r50_fpn_gn-head_groie_1x_coco_20200605_202059-4b75d86f.pth

  - Name: mask_rcnn_r50_fpn_groie_1x_coco
    In Collection: GRoIE
--- a/configs/guided_anchoring/metafile.yml
+++ b/configs/guided_anchoring/metafile.yml
@ -39,9 +39,9 @@ Models:
          AR@1000: 68.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r50_caffe_fpn_1x_coco/ga_rpn_r50_caffe_fpn_1x_coco_20200531-899008a6.pth

-  - Name: ga_rpn_r101_caffe_fpn_1x_coco.py
+  - Name: ga_rpn_r101_caffe_fpn_1x_coco
    In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py.py
+    Config: configs/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.3
      inference time (ms/im):
@ -59,9 +59,9 @@ Models:
          AR@1000: 69.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_r101_caffe_fpn_1x_coco/ga_rpn_r101_caffe_fpn_1x_coco_20200531-ca9ba8fb.pth

-  - Name: ga_rpn_x101_32x4d_fpn_1x_coco.py
+  - Name: ga_rpn_x101_32x4d_fpn_1x_coco
    In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py.py
+    Config: configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 8.5
      inference time (ms/im):
@ -79,9 +79,9 @@ Models:
          AR@1000: 70.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x_coco/ga_rpn_x101_32x4d_fpn_1x_coco_20200220-c28d1b18.pth

-  - Name: ga_rpn_x101_64x4d_fpn_1x_coco.py.py
+  - Name: ga_rpn_x101_64x4d_fpn_1x_coco
    In Collection: Guided Anchoring
-    Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py.py.py
+    Config: configs/guided_anchoring/ga_rpn_x101_64x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      inference time (ms/im):
--- a/configs/lad/README.md
+++ b/configs/lad/README.md
@ -20,12 +20,12 @@ Distillation.

 ### PAA with LAD

-| Teacher | Student | Training schedule | AP (val) |                        Config                         |
-| :-----: | :-----: | :---------------: | :------: | :---------------------------------------------------: |
-|   --    |  R-50   |        1x         |   40.4   |                                                       |
-|   --    |  R-101  |        1x         |   42.6   |                                                       |
-|  R-101  |  R-50   |        1x         |   41.6   | [config](configs/lad/lad_r50_paa_r101_fpn_coco_1x.py) |
-|  R-50   |  R-101  |        1x         |   43.2   | [config](configs/lad/lad_r101_paa_r50_fpn_coco_1x.py) |
+| Teacher | Student | Training schedule | AP (val) |                                                   Config                                                    |                                                                                                                                               Download                                                                                                                                               |
+| :-----: | :-----: | :---------------: | :------: | :---------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+|   --    |  R-50   |        1x         |   40.4   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/paa/paa_r50_fpn_1x_coco.py)      |                     [model](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.log.json)                      |
+|   --    |  R-101  |        1x         |   42.6   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/paa/paa_r101_fpn_1x_coco.py)     |                   [model](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.log.json)                    |
+|  R-101  |  R-50   |        1x         |   41.4   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/lad/lad_r50_paa_r101_fpn_coco_1x.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246.log.json) |
+|  R-50   |  R-101  |        1x         |   43.2   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/lad/lad_r101_paa_r50_fpn_coco_1x.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357.log.json) |

 ## Note

--- a/configs/lad/metafile.yml
+++ b/configs/lad/metafile.yml
@ -6,7 +6,7 @@ Collections:
        - Label Assignment Distillation
        - SGD with Momentum
        - Weight Decay
-      Training Resources: 8x V100 GPUs
+      Training Resources: 2x V100 GPUs
      Architecture:
        - FPN
        - ResNet
@ -19,24 +19,27 @@ Collections:
      Version: v2.19.0

 Models:
-  - Name: lad_r50_paa_r101_fpn_coco_1x
+  - Name: lad_r101_paa_r50_fpn_coco_1x
    In Collection: Label Assignment Distillation
-    Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
+    Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
    Metadata:
-      Teacher: R-101
+      Training Memory (GB): 12.4
+      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 41.6
-
-  - Name: lad_r101_paa_r50_fpn_coco_1x
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 43.2
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r101_paa_r50_fpn_coco_1x/lad_r101_paa_r50_fpn_coco_1x_20220708_124357-9407ac54.pth
+  - Name: lad_r50_paa_r101_fpn_coco_1x
    In Collection: Label Assignment Distillation
-    Config: configs/lad/lad_r101_paa_r50_fpn_coco_1x.py
+    Config: configs/lad/lad_r50_paa_r101_fpn_coco_1x.py
    Metadata:
-      Teacher: R-50
+      Training Memory (GB): 8.9
+      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 43.2
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 41.4
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/lad/lad_r50_paa_r101_fpn_coco_1x/lad_r50_paa_r101_fpn_coco_1x_20220708_124246-74c76ff0.pth
--- a/configs/ld/README.md
+++ b/configs/ld/README.md
@ -16,16 +16,16 @@ Knowledge distillation (KD) has witnessed its powerful capability in learning co

 ### GFocalV1 with LD

-|  Teacher  | Student | Training schedule | Mini-batch size | AP (val) | AP50 (val) | AP75 (val) |                                                     Config                                                      |
-| :-------: | :-----: | :---------------: | :-------------: | :------: | :--------: | :--------: | :-------------------------------------------------------------------------------------------------------------: |
-|    --     |  R-18   |        1x         |        6        |   35.8   |    53.1    |    38.2    |                                                                                                                 |
-|   R-101   |  R-18   |        1x         |        6        |   36.5   |    52.9    |    39.3    |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r18_gflv1_r101_fpn_coco_1x.py)   |
-|    --     |  R-34   |        1x         |        6        |   38.9   |    56.6    |    42.2    |                                                                                                                 |
-|   R-101   |  R-34   |        1x         |        6        |   39.8   |    56.6    |    43.1    |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r34_gflv1_r101_fpn_coco_1x.py)   |
-|    --     |  R-50   |        1x         |        6        |   40.1   |    58.2    |    43.1    |                                                                                                                 |
-|   R-101   |  R-50   |        1x         |        6        |   41.1   |    58.7    |    44.9    |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r50_gflv1_r101_fpn_coco_1x.py)   |
-|    --     |  R-101  |        2x         |        6        |   44.6   |    62.9    |    48.4    |                                                                                                                 |
-| R-101-DCN |  R-101  |        2x         |        6        |   45.4   |    63.1    |    49.5    | [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r101_gflv1_r101dcn_fpn_coco_1x.py) |
+|  Teacher  | Student | Training schedule | Mini-batch size | AP (val) |                                                     Config                                                      |                                                                                                                                                        Download                                                                                                                                                        |
+| :-------: | :-----: | :---------------: | :-------------: | :------: | :-------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
+|    --     |  R-18   |        1x         |        6        |   35.8   |                                                                                                                 |                                                                                                                                                                                                                                                                                                                        |
+|   R-101   |  R-18   |        1x         |        6        |   36.5   |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r18_gflv1_r101_fpn_coco_1x.py)   |         [model](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r18_gflv1_r101_fpn_coco_1x/ld_r18_gflv1_r101_fpn_coco_1x_20220702_062206-330e6332.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r18_gflv1_r101_fpn_coco_1x/ld_r18_gflv1_r101_fpn_coco_1x_20220702_062206.log.json)         |
+|    --     |  R-34   |        1x         |        6        |   38.9   |                                                                                                                 |                                                                                                                                                                                                                                                                                                                        |
+|   R-101   |  R-34   |        1x         |        6        |   39.9   |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r34_gflv1_r101_fpn_coco_1x.py)   |         [model](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r34_gflv1_r101_fpn_coco_1x/ld_r34_gflv1_r101_fpn_coco_1x_20220630_134007-9bc69413.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r34_gflv1_r101_fpn_coco_1x/ld_r34_gflv1_r101_fpn_coco_1x_20220630_134007.log.json)         |
+|    --     |  R-50   |        1x         |        6        |   40.1   |                                                                                                                 |                                                                                                                                                                                                                                                                                                                        |
+|   R-101   |  R-50   |        1x         |        6        |   41.0   |   [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r50_gflv1_r101_fpn_coco_1x.py)   |         [model](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r50_gflv1_r101_fpn_coco_1x/ld_r50_gflv1_r101_fpn_coco_1x_20220629_145355-8dc5bad8.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r50_gflv1_r101_fpn_coco_1x/ld_r50_gflv1_r101_fpn_coco_1x_20220629_145355.log.json)         |
+|    --     |  R-101  |        2x         |        6        |   44.6   |                                                                                                                 |                                                                                                                                                                                                                                                                                                                        |
+| R-101-DCN |  R-101  |        2x         |        6        |   45.5   | [config](https://github.com/open-mmlab/mmdetection/blob/master/configs/ld/ld_r101_gflv1_r101dcn_fpn_coco_2x.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r101_gflv1_r101dcn_fpn_coco_2x/ld_r101_gflv1_r101dcn_fpn_coco_2x_20220629_185920-9e658426.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r101_gflv1_r101dcn_fpn_coco_2x/ld_r101_gflv1_r101dcn_fpn_coco_2x_20220629_185920.log.json) |

 ## Note

--- a/configs/ld/metafile.yml
+++ b/configs/ld/metafile.yml
@ -23,50 +23,47 @@ Models:
    In Collection: Localization Distillation
    Config: configs/ld/ld_r18_gflv1_r101_fpn_coco_1x.py
    Metadata:
-      Teacher: R-101
+      Training Memory (GB): 1.8
+      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 36.5
-          box AP@0.5: 52.9
-          box AP@0.75: 39.3
-
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 36.5
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r18_gflv1_r101_fpn_coco_1x/ld_r18_gflv1_r101_fpn_coco_1x_20220702_062206-330e6332.pth
  - Name: ld_r34_gflv1_r101_fpn_coco_1x
    In Collection: Localization Distillation
    Config: configs/ld/ld_r34_gflv1_r101_fpn_coco_1x.py
    Metadata:
-      Teacher: R-101
+      Training Memory (GB): 2.2
+      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 39.8
-          box AP@0.5: 56.6
-          box AP@0.75: 43.1
-
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 39.9
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r34_gflv1_r101_fpn_coco_1x/ld_r34_gflv1_r101_fpn_coco_1x_20220630_134007-9bc69413.pth
  - Name: ld_r50_gflv1_r101_fpn_coco_1x
    In Collection: Localization Distillation
    Config: configs/ld/ld_r50_gflv1_r101_fpn_coco_1x.py
    Metadata:
-      Teacher: R-101
+      Training Memory (GB): 3.6
+      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 41.1
-          box AP@0.5: 58.7
-          box AP@0.75: 44.9
-
-  - Name: ld_r101_gflv1_r101dcn_fpn_coco_1x
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 41.0
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r50_gflv1_r101_fpn_coco_1x/ld_r50_gflv1_r101_fpn_coco_1x_20220629_145355-8dc5bad8.pth
+  - Name: ld_r101_gflv1_r101dcn_fpn_coco_2x
    In Collection: Localization Distillation
-    Config: configs/ld/ld_r101_gflv1_r101dcn_fpn_coco_1x.py
+    Config: configs/ld/ld_r101_gflv1_r101dcn_fpn_coco_2x.py
    Metadata:
-      Teacher: R-101-DCN
+      Training Memory (GB): 5.5
+      Epochs: 24
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 45.4
-          box AP@0.5: 63.1
-          box AP@0.75: 49.5
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 45.5
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/ld/ld_r101_gflv1_r101dcn_fpn_coco_2x/ld_r101_gflv1_r101dcn_fpn_coco_2x_20220629_185920-9e658426.pth
--- a/configs/mask_rcnn/README.md
+++ b/configs/mask_rcnn/README.md
@ -27,7 +27,7 @@ We present a conceptually simple, flexible, and general framework for object ins
 | X-101-32x4d-FPN | pytorch |   2x    |    -     |       -        |  42.2  |  37.8   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco/mask_rcnn_x101_32x4d_fpn_2x_coco_bbox_mAP-0.422__segm_mAP-0.378_20200506_004702-faef898c.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco/mask_rcnn_x101_32x4d_fpn_2x_coco_20200506_004702.log.json) |
 | X-101-64x4d-FPN | pytorch |   1x    |   10.7   |      8.0       |  42.8  |  38.4   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco.py) |                    [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco/mask_rcnn_x101_64x4d_fpn_1x_coco_20200201-9352eb0d.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_1x_coco/mask_rcnn_x101_64x4d_fpn_1x_coco_20200201_124310.log.json)                    |
 | X-101-64x4d-FPN | pytorch |   2x    |    -     |       -        |  42.7  |  38.1   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco.py) |                [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco/mask_rcnn_x101_64x4d_fpn_2x_coco_20200509_224208-39d6f70c.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco/mask_rcnn_x101_64x4d_fpn_2x_coco_20200509_224208.log.json)                 |
-| X-101-32x8d-FPN | pytorch |   1x    |    -     |       -        |  42.8  |  38.3   |                                                                                                                       |                                                                                                                                                                                                                                                                                                                                                                 |
+| X-101-32x8d-FPN | pytorch |   1x    |   10.6   |       -        |  42.8  |  38.3   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco.py) |                [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco/mask_rcnn_x101_32x8d_fpn_1x_coco_20220630_173841-0aaf329e.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco/mask_rcnn_x101_32x8d_fpn_1x_coco_20220630_173841.log.json)                 |

 ## Pre-trained Models

@ -41,7 +41,7 @@ We also train some models with longer schedules and multi-scale training. The us
 |    [R-101-FPN](./mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py)    |  caffe  |   3x    |   5.9    |                |  42.9  |  38.5   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco.py) |                   [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco_20210526_132339-3c33ce02.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_caffe_fpn_mstrain-poly_3x_coco_20210526_132339.log.json)                    |
 |       [R-101-FPN](./mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py)       | pytorch |   3x    |   6.1    |                |  42.7  |  38.5   |    [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco.py)    |                          [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_fpn_mstrain-poly_3x_coco_20210524_200244-5675c317.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r101_fpn_mstrain-poly_3x_coco/mask_rcnn_r101_fpn_mstrain-poly_3x_coco_20210524_200244.log.json)                           |
 | [x101-32x4d-FPN](./mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco.py)  | pytorch |   3x    |   7.3    |                |  43.6  |  39.0   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco.py) |              [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco_20210524_201410-abcd7859.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x4d_fpn_mstrain-poly_3x_coco_20210524_201410.log.json)               |
-| [X-101-32x8d-FPN](./mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py) | pytorch |   1x    |    -     |                |  43.6  |  39.0   |                                                                                                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                 |
+| [X-101-32x8d-FPN](./mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py) | pytorch |   1x    |   10.4   |                |  43.4  |  39.0   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py) |              [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco_20220630_170346-b4637974.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco_20220630_170346.log.json)               |
 | [X-101-32x8d-FPN](./mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py) | pytorch |   3x    |   10.3   |                |  44.3  |  39.5   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py) |              [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco_20210607_161042-8bd2c639.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco_20210607_161042.log.json)               |
 | [X-101-64x4d-FPN](./mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py) | pytorch |   3x    |   10.4   |                |  44.5  |  39.7   | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco.py) |              [model](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco_20210526_120447-c376f129.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco/mask_rcnn_x101_64x4d_fpn_mstrain-poly_3x_coco_20210526_120447.log.json)               |

--- a/configs/mask_rcnn/metafile.yml
+++ b/configs/mask_rcnn/metafile.yml
@ -280,24 +280,18 @@ Models:
    In Collection: Mask R-CNN
    Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco.py
    Metadata:
-      Training Memory (GB): 10.7
-      inference time (ms/im):
-        - value: 125
-          hardware: V100
-          backend: PyTorch
-          batch size: 1
-          mode: FP32
-          resolution: (800, 1333)
+      Training Memory (GB): 10.6
      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 42.8
-      - Task: Instance Segmentation
-        Dataset: COCO
-        Metrics:
-          mask AP: 38.3
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 42.8
+    - Task: Instance Segmentation
+      Dataset: COCO
+      Metrics:
+        mask AP: 38.3
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco/mask_rcnn_x101_32x8d_fpn_1x_coco_20220630_173841-0aaf329e.pth

  - Name: mask_rcnn_r50_caffe_fpn_mstrain-poly_2x_coco
    In Collection: Mask R-CNN
@ -405,20 +399,22 @@ Models:
    In Collection: Mask R-CNN
    Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco.py
    Metadata:
+      Training Memory (GB): 10.4
      Epochs: 12
    Results:
-      - Task: Object Detection
-        Dataset: COCO
-        Metrics:
-          box AP: 43.6
-      - Task: Instance Segmentation
-        Dataset: COCO
-        Metrics:
-          mask AP: 39.0
+    - Task: Object Detection
+      Dataset: COCO
+      Metrics:
+        box AP: 43.4
+    - Task: Instance Segmentation
+      Dataset: COCO
+      Metrics:
+        mask AP: 39.0
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco/mask_rcnn_x101_32x8d_fpn_mstrain-poly_1x_coco_20220630_170346-b4637974.pth

  - Name: mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco
    In Collection: Mask R-CNN
-    Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco
+    Config: configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_mstrain-poly_3x_coco.py
    Metadata:
      Training Memory (GB): 10.3
      Epochs: 36
--- a/configs/openimages/metafile.yml
+++ b/configs/openimages/metafile.yml
@ -35,7 +35,7 @@ Models:

  - Name: ssd300_32x8_36e_openimages
    In Collection: SSD
-    Config: configs/openimages/ssd300_32x8_36e_openimages
+    Config: configs/openimages/ssd300_32x8_36e_openimages.py
    Metadata:
      Training Memory (GB): 10.8
      Epochs: 36
--- a/configs/regnet/README.md
+++ b/configs/regnet/README.md
@ -91,7 +91,6 @@ We also train some models with longer schedules and multi-scale training. The us
 |    Faster RCNN    |    [RegNetX-1.6GF-FPN](./faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py)    | pytorch |   3x    |   3.4    |                |  40.5  |    -    |    [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py)    |                                     [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-1_20210526_095325-94aa46cc.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-1_20210526_095325.log.json)                                     |
 |    Faster RCNN    |    [RegNetX-3.2GF-FPN](./faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py)    | pytorch |   3x    |   4.4    |                |  42.3  |    -    |    [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py)    |                                     [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-3_20210526_095152-e16a5227.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-3_20210526_095152.log.json)                                     |
 |    Faster RCNN    |      [RegNetX-4GF-FPN](./faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py)      | pytorch |   3x    |   4.9    |                |  42.8  |    -    |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py)     |                 [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210526_095201-65eaf841.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco/faster_rcnn_regnetx-4GF_fpn_mstrain_3x_coco_20210526_095201.log.json)                 |
-|     Mask RCNN     |     [RegNetX-3.2GF-FPN](./mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py)     | pytorch |   3x    |   5.0    |                |  43.1  |  38.7   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco.py)     |                 [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221-99879813.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221.log.json)                 |
 |     Mask RCNN     |  [RegNetX-400MF-FPN](./mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco.py)   | pytorch |   3x    |   2.5    |                |  37.6  |  34.4   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain_3x_coco.py)     |       [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco_20210601_235443-8aac57a4.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-400MF_fpn_mstrain-poly_3x_coco_20210601_235443.log.json)       |
 |     Mask RCNN     |  [RegNetX-800MF-FPN](./mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco.py)   | pytorch |   3x    |   2.9    |                |  39.5  |  36.1   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain_3x_coco.py)     |       [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco_20210602_210641-715d51f5.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-800MF_fpn_mstrain-poly_3x_coco_20210602_210641.log.json)       |
 |     Mask RCNN     |  [RegNetX-1.6GF-FPN](./mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco.py)   | pytorch |   3x    |   3.6    |                |  40.9  |  37.5   |     [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py)     |                                    [model](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641-6764cff5.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641.log.json)                                    |
--- a/configs/regnet/metafile.yml
+++ b/configs/regnet/metafile.yml
@ -548,9 +548,9 @@ Models:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

-  - Name: mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco
+  - Name: mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco
    In Collection: Mask R-CNN
-    Config: configs/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain_3x_coco.py
+    Config: configs/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco.py
    Metadata:
      Training Memory (GB): 3.6
      Epochs: 36
@ -601,7 +601,7 @@ Models:
        Dataset: COCO
        Metrics:
          mask AP: 38.7
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-1.6GF_fpn_mstrain-poly_3x_coco/mask_rcnn_regnetx-1_20210602_210641-6e63e19c.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/regnet/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco/mask_rcnn_regnetx-3.2GF_fpn_mstrain_3x_coco_20200521_202221-99879813.pth
    Paper:
      URL: https://arxiv.org/abs/2003.13678
      Title: 'Designing Network Design Spaces'
@ -610,9 +610,9 @@ Models:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/backbones/regnet.py#L11
      Version: v2.1.0

-  - Name: mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco
+  - Name: mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco
    In Collection: Mask R-CNN
-    Config: configs/regnet/mask_rcnn_regnetx-4GF_fpn_mstrain_3x_coco.py
+    Config: configs/regnet/mask_rcnn_regnetx-4GF_fpn_mstrain-poly_3x_coco.py
    Metadata:
      Training Memory (GB): 5.1
      Epochs: 36
--- a/configs/reppoints/README.md
+++ b/configs/reppoints/README.md
@ -29,10 +29,10 @@ The results on COCO 2017val are shown in the table below.

 |  Method   |   Backbone    | GN  | Anchor | convert func | Lr schd | Mem (GB) | Inf time (fps) | box AP |                                                                     Config                                                                      |                                                                                                                                                                                                                 Download                                                                                                                                                                                                                  |
 | :-------: | :-----------: | :-: | :----: | :----------: | :-----: | :------: | :------------: | :----: | :---------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
-|   BBox    |   R-50-FPN    |  Y  | single |      -       |   1x    |   3.9    |      15.9      |  36.4  |           [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/bbox_r50_grid_fpn_gn-neck+head_1x_coco.py)           |                                         [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329-c98bfa96.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916.log.json)                                         |
-|   BBox    |   R-50-FPN    |  Y  |  none  |      -       |   1x    |   3.9    |      15.4      |  37.4  |       [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco.py)       |                           [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco_20200330-00f73d58.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco_20200330_233609.log.json)                           |
+|   BBox    |   R-50-FPN    |  Y  | single |      -       |   1x    |   3.9    |      15.9      |  36.4  |           [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/bbox_r50_grid_fpn_gn-neck+head_1x_coco.py)           |                                     [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916-0eedf8d1.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916.log.json)                                      |
+|   BBox    |   R-50-FPN    |  Y  |  none  |      -       |   1x    |   3.9    |      15.4      |  37.4  |       [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py)        |                                     [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916-0eedf8d1.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916.log.json)                                      |
 | RepPoints |   R-50-FPN    |  N  |  none  |    moment    |   1x    |   3.3    |      18.5      |  37.0  |              [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py)              |                                                         [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330_233609.log.json)                                                         |
-| RepPoints |   R-50-FPN    |  Y  |  none  |    moment    |   1x    |   3.9    |      17.5      |  38.1  |      [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco.py)       |                           [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329-4b38409a.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329_145952.log.json)                           |
+| RepPoints |   R-50-FPN    |  Y  |  none  |    moment    |   1x    |   3.9    |      17.5      |  38.1  |       [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py)        |                       [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329_145952-3e51b550.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329_145952.log.json)                        |
 | RepPoints |   R-50-FPN    |  Y  |  none  |    moment    |   2x    |   3.9    |       -        |  38.6  |       [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py)        |                           [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco_20200329-91babaa2.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco_20200329_150020.log.json)                           |
 | RepPoints |   R-101-FPN   |  Y  |  none  |    moment    |   2x    |   5.8    |      13.7      |  40.5  |       [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r101_fpn_gn-neck+head_2x_coco.py)       |                         [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco_20200329-4fbc7310.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco_20200329_132205.log.json)                         |
 | RepPoints | R-101-FPN-DCN |  Y  |  none  |    moment    |   2x    |   5.9    |      12.1      |  42.9  | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329-3309fbf2.pth) \| [log](https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329_132134.log.json) |
--- a/configs/reppoints/metafile.yml
+++ b/configs/reppoints/metafile.yml
@ -38,11 +38,11 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 36.4
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329-c98bfa96.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916-0eedf8d1.pth

-  - Name: bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco
+  - Name: bbox_r50_grid_center_fpn_gn-neck+head_1x_coco
    In Collection: RepPoints
-    Config: configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco.py
+    Config: configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+head_1x_coco.py
    Metadata:
      Training Memory (GB): 3.9
      inference time (ms/im):
@ -58,7 +58,7 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 37.4
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco_20200330-00f73d58.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329_145916-0eedf8d1.pth

  - Name: reppoints_moment_r50_fpn_1x_coco
    In Collection: RepPoints
@ -80,9 +80,9 @@ Models:
          box AP: 37.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth

-  - Name: reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco
+  - Name: reppoints_moment_r50_fpn_gn-neck+head_1x_coco
    In Collection: RepPoints
-    Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco.py
+    Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_1x_coco.py
    Metadata:
      Training Memory (GB): 3.9
      inference time (ms/im):
@ -98,7 +98,7 @@ Models:
        Dataset: COCO
        Metrics:
          box AP: 38.1
-    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329-4b38409a.pth
+    Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329_145952-3e51b550.pth

  - Name: reppoints_moment_r50_fpn_gn-neck+head_2x_coco
    In Collection: RepPoints
--- a/configs/retinanet/metafile.yml
+++ b/configs/retinanet/metafile.yml
@ -123,7 +123,7 @@ Models:
          box AP: 37.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_2x_coco/retinanet_r50_fpn_2x_coco_20200131-fdb43119.pth

-  - Name: retinanet_r50_fpn_mstrain_3x_coco
+  - Name: retinanet_r50_fpn_mstrain_640-800_3x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r50_fpn_mstrain_640-800_3x_coco.py
    Metadata:
@ -157,7 +157,7 @@ Models:

  - Name: retinanet_r101_caffe_fpn_mstrain_3x_coco
    In Collection: RetinaNet
-    Config: configs/retinanet/retinanet_r101_caffe_fpn_1x_coco.py
+    Config: configs/retinanet/retinanet_r101_caffe_fpn_mstrain_3x_coco.py
    Metadata:
      Epochs: 36
    Results:
@ -207,9 +207,9 @@ Models:
          box AP: 38.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_fpn_2x_coco/retinanet_r101_fpn_2x_coco_20200131-5560aee8.pth

-  - Name: retinanet_r101_fpn_mstrain_3x_coco
+  - Name: retinanet_r101_fpn_mstrain_640-800_3x_coco
    In Collection: RetinaNet
-    Config: configs/retinanet/retinanet_r101_fpn_2x_coco.py
+    Config: configs/retinanet/retinanet_r101_fpn_mstrain_640-800_3x_coco.py
    Metadata:
      Epochs: 36
    Results:
@ -299,7 +299,7 @@ Models:
          box AP: 40.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_64x4d_fpn_2x_coco/retinanet_x101_64x4d_fpn_2x_coco_20200131-bca068ab.pth

-  - Name: retinanet_x101_64x4d_fpn_mstrain_3x_coco
+  - Name: retinanet_x101_64x4d_fpn_mstrain_640-800_3x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_x101_64x4d_fpn_mstrain_640-800_3x_coco.py
    Metadata: