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Models:
  - Name: faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco
    In Collection: Faster R-CNN
    Config: configs/resnest/faster_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py
    Metadata:
      Training Memory (GB): 4.8
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/faster_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco/faster_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco_20200926_125502-20289c16.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: faster_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco
    In Collection: Faster R-CNN
    Config: configs/resnest/faster_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/faster_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco/faster_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco_20201006_021058-421517f1.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco
    In Collection: Mask R-CNN
    Config: configs/resnest/mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py
    Metadata:
      Training Memory (GB): 5.5
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.6
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/mask_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco/mask_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco_20200926_125503-8a2c3d47.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco
    In Collection: Mask R-CNN
    Config: configs/resnest/mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py
    Metadata:
      Training Memory (GB): 7.8
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.2
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 40.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/mask_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco/mask_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco_20201005_215831-af60cdf9.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: cascade_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco
    In Collection: Cascade R-CNN
    Config: configs/resnest/cascade_rcnn_s50_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py
    Metadata:
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/cascade_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco/cascade_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco_20201122_213640-763cc7b5.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: cascade_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco
    In Collection: Cascade R-CNN
    Config: configs/resnest/cascade_rcnn_s101_fpn_syncbn-backbone+head_mstrain-range_1x_coco.py
    Metadata:
      Training Memory (GB): 8.4
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 46.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/cascade_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco/cascade_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain-range_1x_coco_20201005_113242-b9459f8f.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: cascade_mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco
    In Collection: Cascade R-CNN
    Config: configs/resnest/cascade_mask_rcnn_s50_fpn_syncbn-backbone+head_mstrain_1x_coco.py
    Metadata:
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.4
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/cascade_mask_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco/cascade_mask_rcnn_s50_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco_20201122_104428-99eca4c7.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0

  - Name: cascade_mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco
    In Collection: Cascade R-CNN
    Config: configs/resnest/cascade_mask_rcnn_s101_fpn_syncbn-backbone+head_mstrain_1x_coco.py
    Metadata:
      Training Memory (GB): 10.5
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNeSt
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 47.7
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/resnest/cascade_mask_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco/cascade_mask_rcnn_s101_fpn_syncbn-backbone%2Bhead_mstrain_1x_coco_20201005_113243-42607475.pth
    Paper:
      URL: https://arxiv.org/abs/2004.08955
      Title: 'ResNeSt: Split-Attention Networks'
    README: configs/resnest/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.7.0/mmdet/models/backbones/resnest.py#L273
      Version: v2.7.0