Learning Generalisable Omni-Scale Representations for Person Re-Identification

15 Oct 2019Kaiyang ZhouYongxin YangAndrea CavallaroTao Xiang

An effective person re-identification (re-ID) model should learn feature representations that are both discriminative, for distinguishing similar-looking people, and generalisable, for deployment across datasets without any adaptation. In this paper, we develop novel CNN architectures to address both challenges... (read more)

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