Salience-Guided Cascaded Suppression Network for Person Re-Identification

CVPR 2020 Xuesong Chen Canmiao Fu Yong Zhao Feng Zheng Jingkuan Song Rongrong Ji Yi Yang

Employing attention mechanisms to model both global and local features as a final pedestrian representation has become a trend for person re-identification (Re-ID) algorithms. A potential limitation of these methods is that they focus on the most salient features, but the re-identification of a person may rely on diverse clues masked by the most salient features in different situations, e.g., body, clothes or even shoes... (read more)

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