首页|New Computational Intelligence Study Findings Recently Were Reported by Research ers at Harbin University (Tlnet: Temporal Span Localization Network With Collabo rative Graph Reasoning for Video Question Answering)
New Computational Intelligence Study Findings Recently Were Reported by Research ers at Harbin University (Tlnet: Temporal Span Localization Network With Collabo rative Graph Reasoning for Video Question Answering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Computational Intelligence are discussed in a new report. According to news re porting out of Harbin, People’s Republic of China, by NewsRx editors, research s tated, “Video question answering (VideoQA) has witnessed remarkable progress in the past few years, but there are still challenges in precisely locating questio n-related segments and reasoning spatiotemporal relationships. Targeting these c hallenges, a Temporal Span Localization Network (TLNet) is proposed, which compr ises Temporal Span Localization (TSL) and Collaborative Graph Reasoning (CGR).”
HarbinPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningHarbin University
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