STA-TFM: Spatio-Temporal Aggregation Across Views TransForMer for Pose Estimation

arXiv:2609.24482 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Transformer — 40× in this paper · explained in 2 episodes
• Accuracy — 17× in this paper · explained in 1 episode
• Embeddings — 16× in this paper · explained in 2 episodes
• Alignment — 13× in this paper · explained in 1 episode
• Aggregation — 11× in this paper · explained in 1 episode
• Generalization — 9× in this paper · explained in 13 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Temporal consistency — 6× in this paper · explained in 2 episodes
• Fusion Pose Transformer — 5× in this paper
• Loss Function — 5× in this paper · explained in 2 episodes
• Attention Mechanism — 3× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Mean Per Joint Velocity Error — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Composite Loss Function — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Mean Per Joint Position Error — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes

Sources

• Deep Learning-Based Human Pose Estimation: A Survey
• PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
• RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
• TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation
• Unconstrained Multi-view Human Pose Estimation with Algebraic Priors
• HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment
• Decoupled Weight Decay Regularization
• RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation
• BlazePose: On-device Real-time Body Pose tracking

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