首页|Findings from Chongqing University of Technology Provides New Data about Intelli gent Systems (Self-supervised Multi-object Tracking Based On Metric Learning)

Findings from Chongqing University of Technology Provides New Data about Intelli gent Systems (Self-supervised Multi-object Tracking Based On Metric Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news reporting from Chongqi ng, People’s Republic of China, by NewsRx journalists, research stated,“The cur rent paradigm of joint detection and tracking still requires a large amount of i nstance-leveltrajectory annotation, which incurs high annotation costs. Moreove r, treating embedding training as aclassification problem would lead to difficu lties in model fitting.”

ChongqingPeople’s Republic of ChinaA siaIntelligent SystemsMachine LearningChongqing University of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.30)