Papers › Whole-Body Human Pose Estimation in the Wild
Whole-Body Human Pose Estimation in the Wild
Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo
This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet. As existing datasets do not have whole-body annotations, previous methods have to assemble different deep models trained independently on different datasets of the human face, hand, and body, struggling with dataset biases and large model complexity. To fill in this blank, we introduce COCO-WholeBody which extends COCO dataset with whole-body annotations. To our best knowledge, it is the first benchmark that has manual annotations on the entire human body, including 133 dense landmarks with 68 on the face, 42 on hands and 23 on the body and feet. A single-network model, named ZoomNet, is devised to take into account the hierarchical structure of the full human body to solve the scale variation of different body parts of the same person. ZoomNet is able to significantly outperform existing methods on the proposed COCO-WholeBody dataset. Extensive experiments show that COCO-WholeBody not only can be used to train deep models from scratch for whole-body pose estimation but also can serve as a powerful pre-training dataset for many different tasks such as facial landmark detection and hand keypoint estimation. The dataset is publicly available at https://github.com/jin-s13/COCO-WholeBody.
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Code
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Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 2D Human Pose Estimation | COCO-WholeBody | ZoomNet (V0.5 data) | WB | 54.1 | #11 of 15 | Archive leaderboard | report |
| 2D Human Pose Estimation | COCO-WholeBody | ZoomNet (V0.5 data) | body | 74.3 | #11 of 15 | Archive leaderboard | report |
| 2D Human Pose Estimation | COCO-WholeBody | ZoomNet (V0.5 data) | face | 62.3 | #11 of 15 | Archive leaderboard | report |
| 2D Human Pose Estimation | COCO-WholeBody | ZoomNet (V0.5 data) | foot | 79.8 | #11 of 15 | Archive leaderboard | report |
| 2D Human Pose Estimation | COCO-WholeBody | ZoomNet (V0.5 data) | hand | 40.1 | #11 of 15 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
Introduced by this paper: ZoomNet
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