Dual Context-Aware Refinement Network for Person Search

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 3450-3459, 2020.

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Abstract:

Person search has recently gained increasing attention as the novel task of localizing and identifying a target pedestrian from a gallery of non-cropped scene images. Its performance depends on accurate person detection and re-identification simultaneously by learning effective representations. In this work, we propose a novel dual contex...More

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