首页|Report Summarizes Intelligent Systems Study Findings from Hebei University (Tan: a Temporal-aware Attention Network With Context-rich Representation for Boostin g Proposal Generation)
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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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.'
BaodingPeople's Republic of ChinaAsiaIntelligent SystemsMachine LearningHebei University
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