mmpose/configs/body_2d_keypoint/simcc/coco/resnet_coco.yml

Collections:
- Name: SimCC
  Paper:
    Title: A Simple Coordinate Classification Perspective for Human Pose Estimation
    URL: https://arxiv.org/abs/2107.03332
  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/algorithms/simcc.md
Models:
- Config: configs/body_2d_keypoint/simcc/coco/simcc_res50_8xb64-210e_coco-256x192.py
  In Collection: SimCC
  Metadata:
    Architecture: &id001
    - SimCC
    - ResNet
    Training Data: COCO
  Name: simcc_res50_8xb64-210e_coco-256x192
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.721
      AP@0.5: 0.900
      AP@0.75: 0.798
      AR: 0.781
      AR@0.5: 0.937
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/simcc/coco/simcc_res50_8xb64-210e_coco-256x192-8e0f5b59_20220919.pth
- Config: configs/body_2d_keypoint/simcc/coco/simcc_res50_8xb32-140e_coco-384x288.py
  In Collection: SimCC
  Metadata:
    Architecture: *id001
    Training Data: COCO
  Name: simcc_res50_8xb32-140e_coco-384x288
  Results:
  - Dataset: COCO
    Metrics:
      AP: 0.735
      AP@0.5: 0.899
      AP@0.75: 0.800
      AR: 0.790
      AR@0.5: 0.939
    Task: Body 2D Keypoint
  Weights: https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/simcc/coco/simcc_res50_8xb32-140e_coco-384x288-45c3ba34_20220913.pth