Collections:
  - Name: Dynamic R-CNN
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x NVIDIA V100 GPUs
      Architecture:
        - Dynamic R-CNN
        - FPN
        - RPN
        - ResNet
        - RoIAlign
    Paper: https://arxiv.org/pdf/2004.06002
    README: configs/dynamic_rcnn/README.md

Models:
  - Name: dynamic_rcnn_r50_fpn_1x_coco
    In Collection: Dynamic R-CNN
    Config: configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 3.8
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x/dynamic_rcnn_r50_fpn_1x-62a3f276.pth