metafile.yml
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Collections:
- Name: Rethinking ImageNet Pre-training
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- FPN
- RPN
- ResNet
Paper:
URL: https://arxiv.org/abs/1811.08883
Title: 'Rethinking ImageNet Pre-training'
README: configs/scratch/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/configs/scratch/faster_rcnn_r50_fpn_gn-all_scratch_6x_coco.py
Version: v2.0.0
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