AdaDC: Adaptive Deep Clustering for Unsupervised Domain Adaptation in Person Re-identification-Reference-Cited by-同舟云学术

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AdaDC: Adaptive Deep Clustering for Unsupervised Domain Adaptation in Person Re-identification

Published:2021 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Shihua,Yuan Mingkuan,Chen Jie,Hu Zhilan

Funder

National Key R and D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/09559925.pdf?arnumber=9559925

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation;IEEE Transactions on Artificial Intelligence;2024-09

2. Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

3. Attribute discrimination combined with selected sample dropout for unsupervised domain adaptive person re-identification;Image and Vision Computing;2024-06

4. Intra-Person Camera Adversarial for Intra-Camera Supervised Person Re-Identification;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

5. Loose–tight cluster regularization for unsupervised person re-identification;The Visual Computer;2024-03-29

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