mmdetection/configs/swin/metafile.yml

Models:
  - Name: mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco
    In Collection: Mask R-CNN
    Config: configs/swin/mask-rcnn_swin-s-p4-w7_fpn_amp-ms-crop-3x_coco.py
    Metadata:
      Training Memory (GB): 11.9
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Swin Transformer
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 48.2
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 43.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco/mask_rcnn_swin-s-p4-w7_fpn_fp16_ms-crop-3x_coco_20210903_104808-b92c91f1.pth
    Paper:
      URL: https://arxiv.org/abs/2107.08430
      Title: 'Swin Transformer: Hierarchical Vision Transformer using Shifted Windows'
    README: configs/swin/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.16.0/mmdet/models/backbones/swin.py#L465
      Version: v2.16.0

  - Name: mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco
    In Collection: Mask R-CNN
    Config: configs/swin/mask-rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco.py
    Metadata:
      Training Memory (GB): 10.2
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Swin Transformer
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 46.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco/mask_rcnn_swin-t-p4-w7_fpn_ms-crop-3x_coco_20210906_131725-bacf6f7b.pth
    Paper:
      URL: https://arxiv.org/abs/2107.08430
      Title: 'Swin Transformer: Hierarchical Vision Transformer using Shifted Windows'
    README: configs/swin/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.16.0/mmdet/models/backbones/swin.py#L465
      Version: v2.16.0

  - Name: mask-rcnn_swin-t-p4-w7_fpn_1x_coco
    In Collection: Mask R-CNN
    Config: configs/swin/mask-rcnn_swin-t-p4-w7_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.6
      Epochs: 12
      Training Data: COCO
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Swin Transformer
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.7
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_1x_coco/mask_rcnn_swin-t-p4-w7_fpn_1x_coco_20210902_120937-9d6b7cfa.pth
    Paper:
      URL: https://arxiv.org/abs/2107.08430
      Title: 'Swin Transformer: Hierarchical Vision Transformer using Shifted Windows'
    README: configs/swin/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.16.0/mmdet/models/backbones/swin.py#L465
      Version: v2.16.0

  - Name: mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco
    In Collection: Mask R-CNN
    Config: configs/swin/mask-rcnn_swin-t-p4-w7_fpn_amp-ms-crop-3x_coco.py
    Metadata:
      Training Memory (GB): 7.8
      Epochs: 36
      Training Data: COCO
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Swin Transformer
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 46.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 41.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/swin/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco/mask_rcnn_swin-t-p4-w7_fpn_fp16_ms-crop-3x_coco_20210908_165006-90a4008c.pth
    Paper:
      URL: https://arxiv.org/abs/2107.08430
      Title: 'Swin Transformer: Hierarchical Vision Transformer using Shifted Windows'
    README: configs/swin/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.16.0/mmdet/models/backbones/swin.py#L465
      Version: v2.16.0