Crossing generative adversarial networks for cross-view person re-identification

Chengyuan Zhang; Lin Wu; Yang Wang

doi:10.1016/j.neucom.2019.01.093

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Crossing generative adversarial networks for cross-view person re-identification

Chengyuan Zhang Lin Wu Yang Wang

Year: 2019 Journal: Neurocomputing Vol: 340 Pages: 259-269 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2019.01.093

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Keywords:

Computer science Artificial intelligence Discriminative model Disjoint sets Matching (statistics) Generative grammar Invariant (physics) Pattern recognition (psychology) Adversarial system Generative model Joint probability distribution ENCODE Machine learning Mathematics Statistics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Crossing generative adversarial networks for cross-view person re-identification

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