Research map / 3D vision / Human pose estimation
UniPose: Unified Human Pose Estimation in Single Images and Videos
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use 5 rather than 1 frame in the LSTM (ablation) | UniPose-LSTM · Penn Action | PCK: 98.4% -> 99.3% | Helped |
| increase LSTM input from 5 to 6 frames (ablation) | UniPose-LSTM · Penn Action | PCK: 99.3% -> 99.3% | No clear effect |
| increase LSTM input from 1 to 2 frames (ablation) | UniPose-LSTM · Penn Action | PCK: 98.4% -> 98.6% | Helped |
| increase LSTM input from 2 to 3 frames (ablation) | UniPose-LSTM · Penn Action | PCK: 98.6% -> 98.8% | Helped |
| increase LSTM input from 3 to 4 frames (ablation) | UniPose-LSTM · Penn Action | PCK: 98.8% -> 99.1% | Helped |
| increase LSTM input from 4 to 5 frames (ablation) | UniPose-LSTM · Penn Action | PCK: 99.1% -> 99.3% | Helped |
Closest papers by meaning
- UniPose: A Unified Multimodal Framework for Human Pose Comprehension, Generation and Editing (CVPR 2025 · similarity 0.86)
- Optimizing Human Pose Estimation Through Focused Human and Joint Regions (AAAI 2025 · similarity 0.86)
- Sequential Joint Dependency Aware Human Pose Estimation with State Space Model (AAAI 2025 · similarity 0.85)
- PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model (AAAI 2025 · similarity 0.85)
- SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos (AAAI 2025 · similarity 0.85)
- SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation (AAAI 2024 · similarity 0.85)
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