Robotics & Machine Learning Daily News2024,Issue(Sep.9) :28-28.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :28-28.

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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Abstract

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).

Key words

Hunan/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/National University of Defense Technolog y

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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