microsoft / Semantics-Aligned-Representation-Learning-for-Person-Re-identification
This is an implementation of AAAI'20 paper "Semantics-Aligned Representation Learning for Person Re-identification". We leverages dense semantics to address both the spatial misalignment and semantics misalignment challenges in person re-identification.
☆23Updated last year
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