Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval-Reference-Cited by-同舟云学术

Supervised Contrastive Vehicle Quantization for Efficient Vehicle Retrieval

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
language:
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Author:

Chen Yongbiao¹,Guo Kaicheng¹,Liu Fangxin¹,Huang Yusheng¹,Qi Zhengwei¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

National NSF of China

Shanghai Key Laboratory of Scalable Computing and Systems

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531432

Reference32 articles.

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3. Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification

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

5. Xinlei Chen , Haoqi Fan , Ross Girshick , and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 ( 2020 ). Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He. 2020. Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020).

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