mmdetection/configs/simple_copy_paste/metafile.yml

Collections:
  - Name: SimpleCopyPaste
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 32x A100 GPUs
      Architecture:
        - Softmax
        - RPN
        - Convolution
        - Dense Connections
        - FPN
        - ResNet
        - RoIAlign
    Paper:
      URL: https://arxiv.org/abs/2012.07177
      Title: "Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation"
    README: configs/simple_copy_paste/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.25.0/mmdet/datasets/pipelines/transforms.py#L2762
      Version: v2.25.0

Models:
  - Name: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco
    In Collection: SimpleCopyPaste
    Config: configs/simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-270k_coco.py
    Metadata:
      Training Memory (GB): 7.2
      Iterations: 270000
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/simple_copy_paste/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_270k_coco_20220324_182940-33a100c5.pth

  - Name: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco
    In Collection: SimpleCopyPaste
    Config: configs/simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-90k_coco.py
    Metadata:
      Training Memory (GB): 7.2
      Iterations: 90000
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.3
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/simple_copy_paste/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_32x2_90k_coco_20220316_181409-f79c84c5.pth

  - Name: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco
    In Collection: SimpleCopyPaste
    Config: configs/simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-scp-270k_coco.py
    Metadata:
      Training Memory (GB): 7.2
      Iterations: 270000
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 40.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/simple_copy_paste/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_270k_coco_20220324_201229-80ee90b7.pth

  - Name: mask-rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco
    In Collection: SimpleCopyPaste
    Config: configs/simple_copy_paste/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_32xb2-ssj-scp-90k_coco.py
    Metadata:
      Training Memory (GB): 7.2
      Iterations: 90000
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/simple_copy_paste/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco/mask_rcnn_r50_fpn_syncbn-all_rpn-2conv_ssj_scp_32x2_90k_coco_20220316_181307-6bc5726f.pth