Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks

Jianming Lv; Xintong Wang

doi:10.1007/978-3-319-99247-1_15

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Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks

Jianming Lv Xintong Wang

Year: 2018 Lecture notes in computer science Pages: 171-183 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-99247-1_15

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Keywords:

Computer science Artificial intelligence Adversarial system Classifier (UML) Similarity (geometry) Consistency (knowledge bases) Convolutional neural network Generative grammar Pattern recognition (psychology) Domain (mathematical analysis) Deep learning Generative adversarial network Machine learning Image (mathematics) Mathematics

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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

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks

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