InfoGCN++: Learning Representation by Predicting the Future for Online Skeleton-based Action Recognition

IF 20.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Pattern Analysis and Machine Intelligence Pub Date : 2024-09-26 DOI:10.1109/tpami.2024.3466212
Seunggeun Chi, Hyung-gun Chi, Qixing Huang, Karthik Ramani
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InfoGCN++:通过预测未来学习表征,实现基于骨架的在线动作识别
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来源期刊
CiteScore
28.40
自引率
3.00%
发文量
885
审稿时长
8.5 months
期刊介绍: The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.
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