Meta Clustering Learning for Large-scale Unsupervised Person Re-identification-Reference-Cited by-同舟云学术

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Jin Xin¹,He Tianyu²,Shen Xu²,Liu Tongliang³,Wang Xinchao⁴,Huang Jianqiang²,Chen Zhibo⁵,Hua Xian-Sheng²

Affiliation:

1. Eastern Institute for Advanced Study, Ningbo, China

2. Alibaba Group, Hangzhou, China

3. The University of Sydney, Sydney, Australia

4. National University of Singapore, Singapore, Singapore

5. University of Science and Technology of China, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547900

Reference79 articles.

1. Yan Bai Jile Jiao Wang Ce Jun Liu Yihang Lou Xuetao Feng and Ling-Yu Duan. 2021. Person30k: A dual-meta generalization network for person re-identification. In CVPR. 2123--2132. Yan Bai Jile Jiao Wang Ce Jun Liu Yihang Lou Xuetao Feng and Ling-Yu Duan. 2021. Person30k: A dual-meta generalization network for person re-identification. In CVPR. 2123--2132.

2. Mathilde Caron , Ishan Misra , Julien Mairal , Priya Goyal , Piotr Bojanowski , and Armand Joulin . 2020. Unsupervised learning of visual features by contrasting cluster assignments. NeurIPS ( 2020 ). Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020. Unsupervised learning of visual features by contrasting cluster assignments. NeurIPS (2020).

3. Hao Chen , Benoit Lagadec , and Francois Bremond . 2021 . ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification. ICCV (2021). Hao Chen, Benoit Lagadec, and Francois Bremond. 2021. ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification. ICCV (2021).

4. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607.

5. Ting Chen , Simon Kornblith , Kevin Swersky , Mohammad Norouzi , and Geoffrey Hinton . 2020. Big self-supervised models are strong semi-supervised learners. arXiv preprint arXiv:2006.10029 ( 2020 ). Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey Hinton. 2020. Big self-supervised models are strong semi-supervised learners. arXiv preprint arXiv:2006.10029 (2020).

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