Transformer-based domain-specific representation for unsupervised domain adaptive vehicle re-identification

R Wei, J Gu, S He, W Jiang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Fully-supervised vehicle re-identification (re-ID) methods are faced with performance
degradation when applied to new image domains. Therefore, developing unsupervised …

[PDF][PDF] A review of research on vehicle re-identification methods with unsupervised learning

Y Xu, X Guo, L Rong - J. Front. Comput. Sci. Technol, 2023 - researchgate.net
As one of the technologies of intelligent transportation systems, vehicle re-identification (Re-
ID) aims to retrieve the same vehicle from different monitoring scenes and plays an …

Mask-aware pseudo label denoising for unsupervised vehicle re-identification

Z Lu, R Lin, Q He, H Hu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
As a significant part of Intelligent Transportation System (ITS), vehicle Re-Identification (Re-
ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …

[HTML][HTML] Cumulative unsupervised multi-domain adaptation for Holstein cattle re-identification

F Dubourvieux, G Lapouge, A Loesch, B Luvison… - Artificial Intelligence in …, 2023 - Elsevier
In dairy farming, ensuring the health of each cow and minimizing economic losses requires
individual monitoring, achieved through cow Re-Identification (Re-ID). Computer vision …

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges

A Amiri, A Kaya, AS Keceli - arXiv preprint arXiv:2401.10643, 2024 - arxiv.org
Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a
distributed network of cameras spanning diverse traffic environments. This task assumes …

A formal approach to good practices in pseudo-labeling for unsupervised domain adaptive re-identification

F Dubourvieux, R Audigier, A Loesch, S Ainouz… - Computer Vision and …, 2022 - Elsevier
The use of pseudo-labels prevails to tackle Unsupervised Domain Adaptive (UDA) Re-
Identification (re-ID) with the best performance. Indeed, this family of approaches has given …

无监督学习的车辆重识别方法研究综述.

徐岩, 郭晓燕, 荣磊磊 - … of Frontiers of Computer Science & …, 2023 - search.ebscohost.com
车辆重识别作为智能交通系统的关键技术之一, 旨在从不同监控场景下识别同一车辆,
对构建平安智慧城市起着重要作用. 随着计算机视觉技术的不断发展, 使用监督学习的重识别 …

Re-identification and cross-domain adaptability

F Dubourvieux - 2022 - theses.hal.science
Re-Identification (re-ID) is a task of associating observations of the same instance. Re-ID is
central to many applications of computer vision. Supervised Learning has been used to infer …

Cumulative unsupervised multi-domain adaptation for cattle re-IDentification

F Dubourvieux, G Lapouge, A Loesch… - CVPR 2022-2022 IEEE …, 2022 - hal.science
Re-IDentification (re-ID) is a task of interest for computer vision applications, which consists
in matching different images representing the same individual. It was first extensively studied …