Research map / 3D vision / Human pose estimation
AdaptivePose: Human Parts as Adaptive Points
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add PPM and receptive field adaptation (ablation) | AdaptivePose baseline without PPM, RFA, TR, or auxiliary loss · COCO mini-val | AP: 56.0 -> 57.3 | Helped |
| Add adaptive two-hop regression (ablation) | AdaptivePose baseline without PPM, RFA, TR, or auxiliary loss · COCO mini-val | AP: 56.0 -> 60.0 | Helped |
| Add receptive field adaptation (ablation) | AdaptivePose with PPM and two-hop regression · COCO mini-val | AP: 60.0 -> 61.6 | Helped |
| Add auxiliary keypoint heatmap loss (ablation) | AdaptivePose with PPM, RFA, and two-hop regression · COCO mini-val | AP: 61.6 -> 64.9 | Helped |
| Share adaptive points across the center-aware and regression branches (ablation) | AdaptivePose · COCO mini-val | AP: 64.2 -> 64.9 | Helped |
| Replace adaptive two-hop regression with hierarchical keypoint regression (ablation) | AdaptivePose · COCO mini-val | AP: 60.0 -> 58.5 | Hurt |
| Add heatmap refinement to the two-hop regressed predictions (ablation) | AdaptivePose two-hop regression · COCO mini-val | AP: 64.9 -> 64.6 | Hurt |
Closest papers by meaning
- Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation (AAAI 2020 · similarity 0.91)
- Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints (CVPR 2018 · similarity 0.89)
- End-to-End Multi-Person Pose Estimation With Transformers (CVPR 2022 · similarity 0.88)
- AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation (CVPR 2024 · similarity 0.87)
- Motions as Queries: One-Stage Multi-Person Holistic Human Motion Capture (CVPR 2025 · similarity 0.87)
- Optimizing Human Pose Estimation Through Focused Human and Joint Regions (AAAI 2025 · similarity 0.86)
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