MFEN: Multi-scale Feature Expansion Network for Visible-Infrared Person Re-Identification
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Joint Feature Learning Network for Visible-Infrared Person Re-identification
Pattern Recognition and Computer VisionAbstractVisible-infrared person re-identification (VI-ReID) is a significant technology in night-time surveillance applications. Compared to traditional person re-identification that focuses on only visible imaging system, the modality discrepancy between ...
Multi-view feature fusion for person re-identification
AbstractPerson re-identification (ReID) suffers from camera view variants. Existing works, which typically learn a feature for each image, share a limitation that the learned features are single-view: each feature only contains information in one camera ...
Highlights- The complementary-view features are defined to mitigate view bias.
- Multi-view Message Passing (MVMP) scheme generates multi-view features in the test stage.
- Multi-view Feature Fusion Network (MFFN) increases sensitivity to ...
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Person re-identification based on multi-scale feature learning
AbstractExtracting discriminative pedestrian features is an effective method in person re-identification. Most person re-identification works focus on extracting abstract features from the high-layer of the network, but ignore the middle-layer ...
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Association for Computing Machinery
New York, NY, United States
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- Beijing Natural Science Foundation
- National Science Foundation of China
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