Papers › The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose...
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Guillem Brasó, Nikita Kister, Laura Leal-Taixé
We introduce CenterGroup, an attention-based framework to estimate human poses from a set of identity-agnostic keypoints and person center predictions in an image. Our approach uses a transformer to obtain context-aware embeddings for all detected keypoints and centers and then applies multi-head attention to directly group joints into their corresponding person centers. While most bottom-up methods rely on non-learnable clustering at inference, CenterGroup uses a fully differentiable attention mechanism that we train end-to-end together with our keypoint detector. As a result, our method obtains state-of-the-art performance with up to 2.5x faster inference time than competing bottom-up methods. Our code is available at https://github.com/dvl-tum/center-group .
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Person Pose Estimation | COCO (Common Objects in Context) | CenterGroup | AP | 0.714 | #6 of 15 | Archive leaderboard | report |
| Multi-Person Pose Estimation | COCO (Common Objects in Context) | CenterGroup | Test AP | 71.4 | #6 of 15 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | CenterGroup | AP Easy | 76.6 | #14 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | CenterGroup | AP Hard | 61.5 | #14 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | CenterGroup | AP Medium | 70.0 | #14 of 28 | Archive leaderboard | report |
| Multi-Person Pose Estimation | CrowdPose | CenterGroup | mAP @0.5:0.95 | 69.4 | #14 of 28 | 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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