OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
43 lines
1.5 KiB
43 lines
1.5 KiB
Collections: |
|
- Name: Rethinking ImageNet Pre-training |
|
Metadata: |
|
Training Data: COCO |
|
Training Techniques: |
|
- SGD with Momentum |
|
- Weight Decay |
|
Training Resources: 8x NVIDIA V100 GPUs |
|
Architecture: |
|
- FPN |
|
- RPN |
|
- ResNet |
|
Paper: https://arxiv.org/abs/1811.08883 |
|
README: configs/scratch/README.md |
|
|
|
Models: |
|
- Name: faster_rcnn_r50_fpn_gn-all_scratch_6x_coco |
|
In Collection: Rethinking ImageNet Pre-training |
|
Config: configs/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py |
|
Metadata: |
|
Epochs: 72 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 40.7 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco/scratch_faster_rcnn_r50_fpn_gn_6x_bbox_mAP-0.407_20200201_193013-90813d01.pth |
|
|
|
- Name: mask_rcnn_r50_fpn_gn-all_scratch_6x_coco |
|
In Collection: Rethinking ImageNet Pre-training |
|
Config: configs/scratch/mask_rcnn_r50_fpn_gn-all_scratch_6x_coco.py |
|
Metadata: |
|
Epochs: 72 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 41.2 |
|
- Task: Instance Segmentation |
|
Dataset: COCO |
|
Metrics: |
|
mask AP: 37.4 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/scratch/mask_rcnn_r50_fpn_gn-all_scratch_6x_coco/scratch_mask_rcnn_r50_fpn_gn_6x_bbox_mAP-0.412__segm_mAP-0.374_20200201_193051-1e190a40.pth
|
|
|