SliceNet: Mask Guided Efficient Feature Augmentation for Attention-Aware Person Re-Identification

Zhipu Liu; Lei Zhang

doi:10.1007/978-3-030-36189-1_8

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SliceNet: Mask Guided Efficient Feature Augmentation for Attention-Aware Person Re-Identification

Zhipu Liu Lei Zhang

Year: 2019 Lecture notes in computer science Pages: 91-102 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-36189-1_8

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Keywords:

Computer science Discriminative model Artificial intelligence Benchmark (surveying) Attention network Feature (linguistics) Identification (biology) Pattern recognition (psychology) Focus (optics) Partition (number theory) Task (project management) Baseline (sea) Convolutional neural network

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SliceNet: Mask Guided Efficient Feature Augmentation for Attention-Aware Person Re-Identification

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