Densely Semantically Aligned Person Re-Identification

CVPR, Volume abs/1812.08967, 2019, Pages 667-676.

Cited by: 43|Views17
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Abstract:

We propose a densely semantically aligned person re-identification (re-ID) framework. It fundamentally addresses the body misalignment problem caused by pose/viewpoint variations, imperfect person detection, occlusion,etc.. By leveraging the estimation of the dense semantics of a person image, we construct a set of densely semantically al...More

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