<!-- [ALGORITHM] -->

<details>
<summary align="right"><a href="http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html">SimpleBaseline2D (ECCV'2018)</a></summary>

```bibtex
@inproceedings{xiao2018simple,
  title={Simple baselines for human pose estimation and tracking},
  author={Xiao, Bin and Wu, Haiping and Wei, Yichen},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={466--481},
  year={2018}
}
```

</details>

<!-- [DATASET] -->

<details>
<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-030-58545-7_12">COCO-WholeBody (ECCV'2020)</a></summary>

```bibtex
@inproceedings{jin2020whole,
  title={Whole-Body Human Pose Estimation in the Wild},
  author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2020}
}
```

</details>

Results on COCO-WholeBody v1.0 val with detector having human AP of 56.4 on COCO val2017 dataset

| Arch                                    | Input Size | Body AP | Body AR | Foot AP | Foot AR | Face AP | Face AR | Hand AP | Hand AR | Whole AP | Whole AR |                   ckpt                   |                   log                   |
| :-------------------------------------- | :--------: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :------: | :--------------------------------------: | :-------------------------------------: |
| [pose_resnet_50](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res50_coco_wholebody_256x192.py) |  256x192   |  0.652  |  0.739  |  0.614  |  0.746  |  0.608  |  0.716  |  0.460  |  0.584  |  0.520   |  0.633   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_256x192-9e37ed88_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_256x192_20201004.log.json) |
| [pose_resnet_50](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res50_coco_wholebody_384x288.py) |  384x288   |  0.666  |  0.747  |  0.635  |  0.763  |  0.732  |  0.812  |  0.537  |  0.647  |  0.573   |  0.671   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_384x288-ce11e294_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res50_coco_wholebody_384x288_20201004.log.json) |
| [pose_resnet_101](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res101_coco_wholebody_256x192.py) |  256x192   |  0.670  |  0.754  |  0.640  |  0.767  |  0.611  |  0.723  |  0.463  |  0.589  |  0.533   |  0.647   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_256x192-7325f982_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_256x192_20201004.log.json) |
| [pose_resnet_101](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res101_coco_wholebody_384x288.py) |  384x288   |  0.692  |  0.770  |  0.680  |  0.798  |  0.747  |  0.822  |  0.549  |  0.658  |  0.597   |  0.692   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_384x288-6c137b9a_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res101_coco_wholebody_384x288_20201004.log.json) |
| [pose_resnet_152](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res152_coco_wholebody_256x192.py) |  256x192   |  0.682  |  0.764  |  0.662  |  0.788  |  0.624  |  0.728  |  0.482  |  0.606  |  0.548   |  0.661   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_256x192-5de8ae23_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_256x192_20201004.log.json) |
| [pose_resnet_152](/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap/coco-wholebody/res152_coco_wholebody_384x288.py) |  384x288   |  0.703  |  0.780  |  0.693  |  0.813  |  0.751  |  0.825  |  0.559  |  0.667  |  0.610   |  0.705   | [ckpt](https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_384x288-eab8caa8_20201004.pth) | [log](https://download.openmmlab.com/mmpose/top_down/resnet/res152_coco_wholebody_384x288_20201004.log.json) |
