Channel Augmented Joint Learning for Visible-Infrared Recognition-Reference-Cited by-同舟云学术

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Channel Augmented Joint Learning for Visible-Infrared Recognition

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Ye Mang¹,Ruan Weijian²,Du Bo¹,Shou Mike Zheng³

Affiliation:

1. Wuhan University,National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science,China

2. Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,China

3. National University of Singapore,Singapore

Funder

National Natural Science Foundation of China

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711494.pdf?arnumber=9711494

Reference60 articles.

1. Cross-modal retrieval with cnn visual features: A new baseline;wei;IEEE TCYB,2017

2. Universal Weighting Metric Learning for Cross-Modal Matching

3. RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

4. Smoothing adversarial domain attack and p-memory reconsolidation for cross-domain person reidentification;wang;CVPR,2020

5. Circle Loss: A Unified Perspective of Pair Similarity Optimization

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