mmdetection/configs/crowddet/metafile.yml

Collections:
  - Name: CrowdDet
    Metadata:
      Training Data: CrowdHuman
      Training Techniques:
        - SGD
        - EMD Loss
      Training Resources: 8x A100 GPUs
      Architecture:
        - FPN
        - RPN
        - ResNet
        - RoIPool
    Paper:
      URL: https://arxiv.org/abs/2003.09163
      Title: 'Detection in Crowded Scenes: One Proposal, Multiple Predictions'
    README: configs/crowddet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v3.0.0rc3/mmdet/models/detectors/crowddet.py
      Version: v3.0.0rc3

Models:
  - Name: crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman
    In Collection: CrowdDet
    Config: configs/crowddet/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman.py
    Metadata:
      Training Memory (GB): 4.8
      Epochs: 30
    Results:
      - Task: Object Detection
        Dataset: CrowdHuman
        Metrics:
          box AP: 90.32
    Weights: https://download.openmmlab.com/mmdetection/v3.0/crowddet/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman/crowddet-rcnn_refine_r50_fpn_8xb2-30e_crowdhuman_20221024_215917-45602806.pth

  - Name: crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman
    In Collection: CrowdDet
    Config: configs/crowddet/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman.py
    Metadata:
      Training Memory (GB): 4.4
      Epochs: 30
    Results:
      - Task: Object Detection
        Dataset: CrowdHuman
        Metrics:
          box AP: 90.0
    Weights: https://download.openmmlab.com/mmdetection/v3.0/crowddet/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman_20221023_174954-dc319c2d.pth