Hybrid Contrastive Learning for Unsupervised Person Re-identification-Reference-Cited by-同舟云学术

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Hybrid Contrastive Learning for Unsupervised Person Re-identification

Published:2022 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Si Tongzhen¹,He Fazhi¹,Zhang Zhong²,Duan Yansong³

Affiliation:

1. CS, Wuhan University, 12390 Wuhan, China, 430072

2. College of Electron and Communication Engineering, Tianjin Normal University, 12523 Tianjin, Tianjin, China

3. School of Remote Sensing and Information Engineering, Wuhan University, 12390 Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

the Science and Technology Major Project of Hubei Province

National Key RD Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09772930.pdf?arnumber=9772930

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2. Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-06

3. Model-aware privacy-preserving with start trigger method for person re-identification;Information Processing & Management;2024-09

4. DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning;Expert Systems with Applications;2024-09

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