首页|Researchers at Zhejiang University of Technology Target Pattern Recognition and Artificial Intelligence (Tlcsfi: a Pose-guided Person Re-identification Method W ith Two-level Channel-spatial Feature Integration)
Researchers at Zhejiang University of Technology Target Pattern Recognition and Artificial Intelligence (Tlcsfi: a Pose-guided Person Re-identification Method W ith Two-level Channel-spatial Feature Integration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Pa ttern Recognition and Artificial Intelligencehave been presented. According to news reporting from Zhejiang, People’s Republic of China, by NewsRxjournalists, research stated, “Person re-identification methods currently encounter challeng es in featurelearning, primarily due to difficulties in expressing the correlat ion between local features and integratingglobal and local features effectively . To address these issues, a pose-guided person re-identification methodwith Tw o-Level Channel-Spatial Feature Integration (TLCSFI) is proposed.”
ZhejiangPeople’s Republic of ChinaAs iaPattern Recognition and Artificial IntelligenceMachine LearningZhejiang University of Technology