Triplet contrastive representation learning for unsupervised vehicle re-identification
Part feature learning is critical for fine-grained semantic understanding in vehicle re-
identification. However, existing approaches directly model part features and global …
identification. However, existing approaches directly model part features and global …
A survey on siamese network: Methodologies, applications, and opportunities
Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …
present an comprehensive review on Siamese network from the aspects of methodologies …
Exploiting multi-view part-wise correlation via an efficient transformer for vehicle re-identification
Image-based vehicle re-identification (ReID) has witnessed much progress in recent years.
However, most of existing works struggled to extract robust but discriminative features from a …
However, most of existing works struggled to extract robust but discriminative features from a …
Identity-unrelated information decoupling model for vehicle re-identification
As an indispensable part of intelligent transportation system (ITS), vehicle re-identification
(Re-ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …
(Re-ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a
distributed network of cameras spanning diverse traffic environments. This task assumes …
distributed network of cameras spanning diverse traffic environments. This task assumes …
Cross-modality Vessel Re-Identification With Deep Alignment Decomposition Network
Z Wen, J Wu, Y Lv, Q Wu - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
Cross-modality vessel re-identification (ReID) presents a formidable challenge in the
domain of maritime surveillance, necessitating the development of robust methodologies to …
domain of maritime surveillance, necessitating the development of robust methodologies to …
Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification
X Liu, J Qi, C Chen, K Bin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Owing to the capacity of performing full-time target searches, cross-modality vehicle re-
identification based on unmanned aerial vehicles (UAV) is gaining more attention in both …
identification based on unmanned aerial vehicles (UAV) is gaining more attention in both …
Dual-Level Viewpoint-Learning for Cross-Domain Vehicle Re-Identification
R Zhou, Q Wang, L Cao, J Xu, X Zhu, X Xiong, H Zhang… - Electronics, 2024 - mdpi.com
The definition of vehicle viewpoint annotations is ambiguous due to human subjective
judgment, which makes the cross-domain vehicle re-identification methods unable to learn …
judgment, which makes the cross-domain vehicle re-identification methods unable to learn …
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification
X Liu, J Qi, C Chen, K Bin, P Zhong - arXiv preprint arXiv:2310.08026, 2023 - arxiv.org
Owing to the capacity of performing full-time target search, cross-modality vehicle re-
identification (Re-ID) based on unmanned aerial vehicle (UAV) is gaining more attention in …
identification (Re-ID) based on unmanned aerial vehicle (UAV) is gaining more attention in …
Iterative embedding distillation for open world vehicle recognition
Vehicle recognition poses a practical but challenging problem in many real-world
surveillance applications. Since vehicle recognition is an open-set problem, it is a critical …
surveillance applications. Since vehicle recognition is an open-set problem, it is a critical …