metafile.yml

Collections:
  - Name: PointRend
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - PointRend
        - FPN
        - ResNet
    Paper:
      URL: https://arxiv.org/abs/1912.08193
      Title: 'PointRend: Image Segmentation as Rendering'
    README: configs/point_rend/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/detectors/point_rend.py#L6
      Version: v2.2.0

Models:
  - Name: point_rend_r50_caffe_fpn_mstrain_1x_coco
    In Collection: PointRend
    Config: configs/point_rend/point-rend_r50-caffe_fpn_ms-1x_coco.py
    Metadata:
      Training Memory (GB): 4.6
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.4
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco/point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth

  - Name: point_rend_r50_caffe_fpn_mstrain_3x_coco
    In Collection: PointRend
    Config: configs/point_rend/point-rend_r50-caffe_fpn_ms-3x_coco.py
    Metadata:
      Training Memory (GB): 4.6
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/point_rend/point_rend_r50_caffe_fpn_mstrain_3x_coco/point_rend_r50_caffe_fpn_mstrain_3x_coco-e0ebb6b7.pth