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This document provides a survey of recent deep learning-based approaches for human pose estimation (HPE). It comprehensively reviews over 260 research papers on 2D and 3D HPE published since 2014. The survey categorizes HPE methods based on whether they estimate 2D or 3D pose, use single-view or multi-view input, and apply to single or multi-person scenarios. It also evaluates and compares the performance of prominent methods on common datasets and discusses applications and remaining challenges of HPE.
- Author
- 1292396438
- Language
- EN