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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-rsb-pre_fpn_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-rsb-pre_fpn_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-rsb-pre_fpn_1x_coco
- In Collection: RetinaNet
- Config: configs/resnet_strikes_back/retinanet_r50-rsb-pre_fpn_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-rsb-pre_fpn_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
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