Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

18 Mar 2020Changxing DingKan WangPengfei WangDacheng Tao

Part-level representations are important for robust person re-identification (ReID), but in practice feature quality suffers due to the body part misalignment problem. In this paper, we present a robust, compact, and easy-to-use method called the Multi-task Part-aware Network (MPN), which is designed to extract semantically aligned part-level features from pedestrian images... (read more)

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