首页|Findings from Beijing University of Posts and Telecommunications in the Area of Intelligent Systems Described (Situational Diversity In Video Person Re-identifi cation: Introducing Msa-bupt Dataset)
Findings from Beijing University of Posts and Telecommunications in the Area of Intelligent Systems Described (Situational Diversity In Video Person Re-identifi cation: Introducing Msa-bupt Dataset)
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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 originating from Beijing, Pe ople's Republic of China, by NewsRx correspondents, research stated, “Thanks to the success of deep learning over the past few years, the video person re-identi fication (ReID) algorithms have achieved high accuracy on multiple public benchm ark datasets. However, the available video person ReID datasets cover a limited range of real-world scenarios, and they have several obvious limitations: limite d camera viewing angles, tiny variations of the shooting scene, and even errors in manual labels.”
BeijingPeople's Republic of ChinaAsiaIntelligent SystemsMachine LearningBeijing University of Posts and Teleco mmunications
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