Основные понятия
Proposing a novel approach for 3D human pose estimation using transformers to capture spatial-temporal relationships effectively.
Аннотация
The content discusses the importance of precise 3D human pose estimation for various applications and introduces a multi-stage framework utilizing transformers. It highlights the challenges in data collection, the structure of the proposed approach, and its evaluation on the Human3.6M dataset. The paper emphasizes the significance of modeling spatial-temporal relationships for accurate pose detection.
Structure:
- Introduction to 3D Human Pose Estimation
- Proposed Multi-Stage Framework with Transformers
- Evaluation on Human3.6M Dataset
- Related Work Overview
- Methodology Details and Architecture Illustration
- Experiments Conducted and Results Analysis
- Conclusion and Future Directions
Статистика
"Experimental results demonstrate that our approach achieves state-of-the-art performance on this dataset."
"Our method reduces the average error by 9%, decreasing from 44.3 to 40.3."
Цитаты
"Our method exhibits leadership in both evaluation metrics."
"In comparison to the baseline model, our overall model exhibits a higher accuracy."