Research map / 3D vision / Human pose estimation
Articulated Pose Estimation Using Hierarchical Exemplar-Based Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| multi-level spatial reasoning vs IDPR | Ours-full · LSP (OC) | PCP: 75.0 -> 76.1 | Helped |
| person-centric instead of observer-centric annotations | Ours-full · LSP | PCP: 76.1 -> 74.2 | Hurt |
| Ours-partial vs Strong-PS and PoseMachine | Ours-partial · LSP (OC) | PCP: 71.3 vs 69.2 and 67.6 | Helped |
| replace SVM part detectors in CoE with DCNN detectors | CoE · CUB-200-2011 | PCP: 59.7 -> 67.5 | Helped |
| DCNN-CoE vs Part-pair | DCNN-CoE · CUB-200-2011 | PCP: 66.7 -> 67.5 | Helped |
| multi-level exemplars with incomplete scoring (Ours-partial) over DCNN-CoE | DCNN-CoE · CUB-200-2011 | PCP: 67.5 -> 68.3 | Helped |
| use full scoring function over Ours-partial | Ours-partial · CUB-200-2011 | PCP: 68.3 -> 70.2 | Helped |
Closest papers by meaning
- Category-Level Articulated Object Pose Estimation (CVPR 2020 · similarity 0.88)
- Convolutional Pose Machines (CVPR 2016 · similarity 0.87)
- HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units (AAAI 2025 · similarity 0.86)
- EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation (NeurIPS 2024 · similarity 0.86)
- Video-Based Human Pose Regression via Decoupled Space-Time Aggregation (CVPR 2024 · similarity 0.86)
- Optimizing Human Pose Estimation Through Focused Human and Joint Regions (AAAI 2025 · similarity 0.86)
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