Robotics & Machine Learning Daily News2024,Issue(Mar.27) :92-93.

Report Summarizes Intelligent Systems Study Findings from Hebei University (Tan: a Temporal-aware Attention Network With Context-rich Representation for Boostin g Proposal Generation)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :92-93.

Report Summarizes Intelligent Systems Study Findings from Hebei University (Tan: a Temporal-aware Attention Network With Context-rich Representation for Boostin g Proposal Generation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning-Inte lligent Systems is now available. According to news reporting out of Baoding, Pe ople's Republic of China, by NewsRx editors, research stated, 'Temporal action p roposal generation in an untrimmed video is very challenging, and comprehensive context exploration is critically important to generate accurate candidates of a ction instances. This paper proposes a Temporal-aware Attention Network (TAN) th at localizes context-rich proposals by enhancing the temporal representations of boundaries and proposals.'

Key words

Baoding/People's Republic of China/Asia/Intelligent Systems/Machine Learning/Hebei University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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