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