Collections:
  - Name: RF-Next
    Metadata:
      Training Data: COCO
      Training Techniques:
        - RF-Next
      Training Resources: 8x V100 GPUs
      Architecture:
        - RF-Next
    Paper:
      URL: http://mftp.mmcheng.net/Papers/22TPAMI-ActionSeg.pdf
      Title: "RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks"
    README: configs/rfnext/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/mmdet/utils/rfnext.py
      Version: v2.27.0

Models:
  - Name: rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_convnext-t_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco.py
    Metadata:
      Training Memory (GB): 11.9
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        RF-Next (search)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 50.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 44.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k/rfnext_search_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k-f47db42b.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext-t_p4_w7_fpn_giou_4conv1f_fp16_ms-crop_3x_coco.py
    Metadata:
      Training Memory (GB): 9.4
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        RF-Next (fixed_single_branch)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 50.6
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 44.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k/rfnext_fixed_single_branch_cascade_mask_rcnn_convnext_tiny_patch4_window7_mstrain_480-800_giou_4conv1f_adamw_3x_coco_in1k-71aeb991.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py
    Metadata:
      Training Memory (GB): 12.9
      Epochs: 20
      Training Data: COCO
      Training Techniques:
        RF-Next (search)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.7
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco/rfnext_search_cascade_mask_rcnn_hrnetv2p_w18_20e_coco-7b9c7885.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco.py
    Metadata:
      Training Memory (GB): 8.4
      Epochs: 20
      Training Data: COCO
      Training Techniques:
        RF-Next (fixed_single_branch)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco/rfnext_fixed_single_branch_cascade_mask_rcnn_hrnetv2p_w18_20e_coco-682f121d.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco.py
    Metadata:
      Training Memory (GB): 11.9
      Epochs: 20
      Training Data: COCO
      Training Techniques:
        RF-Next (search)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 47.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco/rfnext_search_cascade_mask_rcnn_r2_101_fpn_20e_coco-e17510a0.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco.py
    Metadata:
      Training Memory (GB): 9.3
      Epochs: 20
      Training Data: COCO
      Training Techniques:
        RF-Next (fixed_single_branch)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 46.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 40.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco/rfnext_fixed_single_branch_cascade_mask_rcnn_r2_101_fpn_20e_coco-e22d5257.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 10.3
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        RF-Next (search)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 39.3
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco/rfnext_search_mask_rcnn_pvtv2-b0_fpn_1x_coco-dc8fd5de.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 8.3
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        RF-Next (fixed_single_branch)
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco/rfnext_fixed_single_branch_mask_rcnn_pvtv2-b0_fpn_1x_coco-7b25d72e.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco.py
    Metadata:
      Training Memory (GB): 4.3
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        RF-Next (search)
    Results:
      - Task: Panoptic Segmentation
        Dataset: COCO
        Metrics:
          box AP: 44.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco/rfnext_search_panoptic_fpn_r2_50_fpn_fp16_1x_coco-34a893a0.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md

  - Name: rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco
    In Collection: RF-Next
    Config: configs/rfnext/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco.py
    Metadata:
      Training Memory (GB): 3.5
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        RF-Next (fixed_single_branch)
    Results:
      - Task: Panoptic Segmentation
        Dataset: COCO
        Metrics:
          box AP: 44.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/rfnext/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco/rfnext_fixed_single_branch_panoptic_fpn_r2_50_fpn_fp16_1x_coco-52181d5b.pth
    Paper:
      URL: https://arxiv.org/pdf/2206.06637.pdf
      Title: 'RF-Next: Efficient Receptive Field Search for CNN'
    README: configs/rfnext/README.md