Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Author:
Affiliation:
1. Karlsruhe Institute of Technology,Institute for Anthropomatics and Robotics,Germany
2. University of Stuttgart,Institute for Artificial Intelligence,Germany
3. Hunan University,School of Robotics,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447178.pdf?arnumber=10447178
Reference27 articles.
1. 3D Human Action Representation Learning via Cross-View Consistency Pursuit
2. Semantic human activity recognition: A literature review
3. 3D skeleton-based human action classification: A survey
4. Efficient Human Action Recognition Interface for Augmented and Virtual Reality Applications Based on Binary Descriptor
5. Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
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