Bottom-Up Foreground-Aware Feature Fusion for Practical Person Search

IEEE Transactions on Circuits and Systems for Video Technology(2022)

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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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