StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification-Reference-Cited by-同舟云学术

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StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification

Published:2020-06 Issue: Volume: Page:
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Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Lee Sangrok,Park Eunsoo,Yi Hongsuk,Lee Sang Hun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142289/9150305/09151056.pdf?arnumber=9151056

Cited by 21 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

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2. A Liquidity Analysis System for Large-scale Video Streams in the Oilfield;ACM Transactions on Sensor Networks;2024-04-13

3. Synthetic-to-Real Composite Semantic Segmentation in Additive Manufacturing;Journal of Manufacturing and Materials Processing;2024-03-28

4. Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Learning Style-Invariant Robust Representation for Generalizable Visual Instance Retrieval;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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