Rethinking Classification Loss Designs for Person Re-identification with a Unified View

8 Jun 2020Zhizheng ZhangCuiling LanWenjun ZengZhibo ChenShif-Fu Chang

Person Re-identification (ReID) aims at matching a person of interest across images. In convolutional neural networks (CNNs) based approaches, loss design plays a role of metric learning which guides the feature learning process to pull closer features of the same identity and to push far apart features of different identities... (read more)

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