首页|Studies from National University of Defense Technology in the Area of Intelligen t Systems Reported (Hybrid Attentive Prototypical Network for Few-shot Action Re cognition)
Studies from National University of Defense Technology in the Area of Intelligen t Systems Reported (Hybrid Attentive Prototypical Network for Few-shot Action Re cognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According to news originating from Hunan, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Most previous few-shot action recognition works tend to process video temporal and spatial fe atures separately, resulting in insufficient extraction of comprehensive feature s. In this paper, a novel hybrid attentive prototypical network (HAPN) framework for few-shot action recognition is proposed.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC).
HunanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningNational University of Defense Technolog y
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