mmdetection/configs/grid_rcnn/metafile.yml

Collections:
  - Name: Grid R-CNN
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - RPN
        - Dilated Convolution
        - ResNet
        - RoIAlign
    Paper:
      URL: https://arxiv.org/abs/1906.05688
      Title: 'Grid R-CNN'
    README: configs/grid_rcnn/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/grid_rcnn.py#L6
      Version: v2.0.0

Models:
  - Name: grid-rcnn_r50_fpn_gn-head_2x_coco
    In Collection: Grid R-CNN
    Config: configs/grid_rcnn/grid-rcnn_r50_fpn_gn-head_2x_coco.py
    Metadata:
      Training Memory (GB): 5.1
      inference time (ms/im):
        - value: 66.67
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r50_fpn_gn-head_2x_coco/grid_rcnn_r50_fpn_gn-head_2x_coco_20200130-6cca8223.pth

  - Name: grid-rcnn_r101_fpn_gn-head_2x_coco
    In Collection: Grid R-CNN
    Config: configs/grid_rcnn/grid-rcnn_r101_fpn_gn-head_2x_coco.py
    Metadata:
      Training Memory (GB): 7.0
      inference time (ms/im):
        - value: 79.37
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_r101_fpn_gn-head_2x_coco/grid_rcnn_r101_fpn_gn-head_2x_coco_20200309-d6eca030.pth

  - Name: grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco
    In Collection: Grid R-CNN
    Config: configs/grid_rcnn/grid-rcnn_x101-32x4d_fpn_gn-head_2x_coco.py
    Metadata:
      Training Memory (GB): 8.3
      inference time (ms/im):
        - value: 92.59
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_32x4d_fpn_gn-head_2x_coco_20200130-d8f0e3ff.pth

  - Name: grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco
    In Collection: Grid R-CNN
    Config: configs/grid_rcnn/grid-rcnn_x101-64x4d_fpn_gn-head_2x_coco.py
    Metadata:
      Training Memory (GB): 11.3
      inference time (ms/im):
        - value: 129.87
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/grid_rcnn/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco/grid_rcnn_x101_64x4d_fpn_gn-head_2x_coco_20200204-ec76a754.pth