metafile.yml
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Models:
- Name: faster_rcnn_r50_fpn_rsb-pretrain_1x_coco
In Collection: Faster R-CNN
Config: configs/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
Metadata:
Training Memory (GB): 3.9
Epochs: 12
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.8
Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco/faster_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_162229-32ae82a9.pth
Paper:
URL: https://arxiv.org/abs/2110.00476
Title: 'ResNet strikes back: An improved training procedure in timm'
README: configs/resnet_strikes_back/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
Version: v2.22.0
- Name: cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco
In Collection: Cascade R-CNN
Config: configs/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
Metadata:
Training Memory (GB): 6.2
Epochs: 12
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/cascade_mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_193636-8b9ad50f.pth
Paper:
URL: https://arxiv.org/abs/2110.00476
Title: 'ResNet strikes back: An improved training procedure in timm'
README: configs/resnet_strikes_back/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
Version: v2.22.0
- Name: retinanet_r50_fpn_rsb-pretrain_1x_coco
In Collection: RetinaNet
Config: configs/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco.py
Metadata:
Training Memory (GB): 3.8
Epochs: 12
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/retinanet_r50_fpn_rsb-pretrain_1x_coco/retinanet_r50_fpn_rsb-pretrain_1x_coco_20220113_175432-bd24aae9.pth
Paper:
URL: https://arxiv.org/abs/2110.00476
Title: 'ResNet strikes back: An improved training procedure in timm'
README: configs/resnet_strikes_back/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
Version: v2.22.0
- Name: mask_rcnn_r50_fpn_rsb-pretrain_1x_coco
In Collection: Mask R-CNN
Config: configs/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco.py
Metadata:
Training Memory (GB): 4.5
Epochs: 12
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/resnet_strikes_back/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco/mask_rcnn_r50_fpn_rsb-pretrain_1x_coco_20220113_174054-06ce8ba0.pth
Paper:
URL: https://arxiv.org/abs/2110.00476
Title: 'ResNet strikes back: An improved training procedure in timm'
README: configs/resnet_strikes_back/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/configs/resnet_strikes_back/README.md
Version: v2.22.0