Bottom-Up Foreground-Aware Feature Fusion for Practical Person Search
IEEE Transactions on Circuits and Systems for Video Technology(2022)
摘要
The key to efficient person search is jointly localizing pedestrians and learning discriminative representation for person re-identification (re-ID). Some recently developed models are built with separate detection and re-ID branches on top of shared region feature extraction networks. There are two factors that are detrimental to re-ID feature learning. One is the background information redundanc...
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关键词
Feature extraction,Task analysis,Proposals,Head,Location awareness,Detectors,Fuses
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