Research map / 3D vision / Human pose estimation
LCR-Net: Localization-Classification-Regression for Human Pose
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Integrate neighboring pose proposals with score-weighted averaging instead of selecting proposals with NMS (ablation) | LCR-Net · Human3.6M P2 | 3D pose error (mm), absolute: 89.8 -> 87.7 | Helped |
| Integrate neighboring pose proposals instead of selecting proposals with NMS (ablation) | LCR-Net · Human3.6M P1 | 3D pose error (mm), absolute: 65.9 -> 63.2 | Helped |
| Integrate neighboring pose proposals instead of selecting proposals with NMS (ablation) | LCR-Net · Human3.6M P3 | 3D pose error (mm), aligned: 73.1 -> 72.7 | Helped |
| Use 100 clustered anchor-poses rather than a single pose class (ablation) | LCR-Net · Human3.6M P1 | 3D pose error (mm), NMS: 74.2 -> 70.7 | Helped |
| Increase the number of anchor-poses from 100 to 500 (ablation) | LCR-Net · Human3.6M P1 | 3D pose error (mm), NMS: 70.7 -> 85.6 | Hurt |
| Increase the number of anchor-poses from 100 to 200 (ablation) | LCR-Net · Human3.6M P1 | 3D pose error (mm), NMS: 70.7 -> 77.0 | Hurt |
| Add annotated COCO images to the training set (ablation) | LCR-Net · MPII validation | PCKh@0.5: 78.5% | Helped |
| Use PPI rather than NMS for pose proposal postprocessing (ablation) | LCR-Net · MPII validation | PCKh | Helped |
Closest papers by meaning
- 3D Human Pose Estimation From a Single Image via Distance Matrix Regression (CVPR 2017 · similarity 0.89)
- Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose (CVPR 2017 · similarity 0.88)
- 3D Human Pose Estimation = 2D Pose Estimation + Matching (CVPR 2017 · similarity 0.88)
- Towards Accurate Multi-Person Pose Estimation in the Wild (CVPR 2017 · similarity 0.88)
- On the Calibration of Human Pose Estimation (ICML 2024 · similarity 0.87)
- Optimizing Human Pose Estimation Through Focused Human and Joint Regions (AAAI 2025 · similarity 0.86)
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