Papers › DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, Bernt Schiele
The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective bottom-up proposals for body parts; (2) novel image-conditioned pairwise terms that allow to assemble the proposals into a variable number of consistent body part configurations; and (3) an incremental optimization strategy that explores the search space more efficiently thus leading both to better performance and significant speed-up factors. Evaluation is done on two single-person and two multi-person pose estimation benchmarks. The proposed approach significantly outperforms best known multi-person pose estimation results while demonstrating competitive performance on the task of single person pose estimation. Models and code available at http://pose.mpi-inf.mpg.de
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Code
16 repositories listed; official and paper-mentioned ones first.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Keypoint Detection | MPII Multi-Person | DeeperCut | mAP@0.5 | 59.4% | #9 of 9 | Archive leaderboard | report |
| Multi-Person Pose Estimation | MPII Multi-Person | DeeperCut | AP | 59.4% | #9 of 9 | Archive leaderboard | report |
| Multi-Person Pose Estimation | WAF | DeeperCut | AOP | 88.1% | #1 of 3 | Archive leaderboard | report |
| Pose Estimation | Leeds Sports Poses | ResNet-152 + intermediate supervision | PCK | 90.1% | #13 of 18 | Archive leaderboard | report |
| Pose Estimation | MPII Human Pose | ResNet-152 + intermediate supervision | PCKh-0.5 | 88.52 | #33 of 46 | 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
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