Research map / 3D vision / Human pose estimation
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add AP-HNN to HRNet (ablation) | HRNet · COCO test-dev2017 | AP: 74.9 -> 76.3 | Helped |
| Add AP-HNN to SBN (ablation) | SBN · COCO test-dev2017 | AP: 73.7 -> 75.1 | Helped |
| Add SIC to the initial pose estimator (ablation) | AD-HNN initial pose estimator · COCO val2017 | AP: 74.3 -> 74.8 | Helped |
| Add AP-HNN to the initial pose estimator (ablation) | AD-HNN initial pose estimator · COCO val2017 | AP: 74.3 -> 75.9 | Helped |
| Use SIC and AP-HNN together (ablation) | AD-HNN · COCO val2017 | AP: 74.3 -> 76.4 | Helped |
| Replace the hypergraph with a fixed tree-like GNN (ablation) | AD-HNN · COCO val2017 | AP: 75.3 -> 74.9 | Hurt |
| Keep joint relations fixed rather than adapt them (ablation) | AD-HNN · COCO val2017 | AP: 75.9 -> 75.3 | Hurt |
| Use dynamic k-NN connections instead of learnable adaptive hypergraph relations (ablation) | AD-HNN · COCO val2017 | AP: 75.9 -> 75.6 | Hurt |
| Add AP-HNN to the pose estimator (ablation) | AD-HNN · COCO val2017 self-occlusion subset | AP: 76.0 -> 79.5 | Helped |
Closest papers by meaning
- DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation (AAAI 2020 · similarity 0.86)
- Semantic Graph Convolutional Networks for 3D Human Pose Regression (CVPR 2019 · similarity 0.86)
- Deep Dual Consecutive Network for Human Pose Estimation (CVPR 2021 · similarity 0.86)
- Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation (AAAI 2024 · similarity 0.85)
- GRPose: Learning Graph Relations for Human Image Generation with Pose Priors (AAAI 2025 · similarity 0.84)
- COMPOSE: Hypergraph Cover Optimization for Multi-view 3D Human Pose Estimation (NeurIPS 2026 · similarity 0.84)
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