Visible-Xray Cross-Modality Package Re-Identification
Author:
Affiliation:
1. Zhejiang University of Technology,School of Computer Science and Technology,Hangzhou,China
2. Chinese Academy of Science,Institute of Intelligent Machines Hefei Institutes of Physical Science,Hefei,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219825.pdf?arnumber=10219825
Reference33 articles.
1. Parameter sharing exploration and heterocenter triplet loss for visible-thermal person re-identification;liu;TMM,2020
2. Learning Identity-Consistent Feature for Cross-Modality Person Re-Identification via Pixel and Feature Alignment
3. Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification
4. Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
5. Bi-directional exponential angular triplet loss for rgb-infrared person re-identification;ye;TIP,2020
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1. Discriminative multi-scale adjacent feature for person re-identification;Complex & Intelligent Systems;2024-03-21
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