Variational representation learning for vehicle re-identification

SAS Alfasly, Y Hu, T Liang, X Jin… - … Conference on Image …, 2019 - ieeexplore.ieee.org
Vehicle Re-identification is attracting more and more attention in recent years. One of the
most challenging problems is to learn an efficient representation for a vehicle from its multi …

Learning multi-region features for vehicle re-identification with context-based ranking method

J Peng, H Wang, T Zhao, X Fu - Neurocomputing, 2019 - Elsevier
Vehicle re-identification is to identify a target vehicle in different cameras with non-
overlapping views. It is a challenging task due to various viewpoints of vehicles, diversified …

Aggregating global and local visual representation for vehicle re-identification

X Lin, R Li, X Zheng, P Peng, Y Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicle Re-Identification targets at searching for vehicle instances of the same identity with a
given query. It has gained an increasing attention recently with a wide application prospects …

Spatially-regularized features for vehicle re-identification: An explanation of where deep models should focus

K Lv, S Wang, S Han, Y Lin - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Vehicle re-identification aims to identify vehicles from different cameras and has drawn
much attention in the multimedia community. In recent years, significant achievements in …

Parsing-based view-aware embedding network for vehicle re-identification

D Meng, L Li, X Liu, Y Li, S Yang… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract Vehicle Re-Identification is to find images of the same vehicle from various views in
the cross-camera scenario. The main challenges of this task are the large intra-instance …

Multi-attention-based soft partition network for vehicle re-identification

S Lee, T Woo, SH Lee - Journal of Computational Design and …, 2023 - academic.oup.com
Vehicle re-identification helps in distinguishing between images of the same and other
vehicles. It is a challenging process because of significant intra-instance differences …

Partition and reunion: A viewpoint-aware loss for vehicle re-identification

H Chen, Y Liu, Y Huang, W Ke… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Vehicle Re-Identification (ReID) aims to retrieve images of vehicles with the same identity
from different scenarios. It is a challenging task due to the large intra-identity discrepancy …

Multi-view spatial attention embedding for vehicle re-identification

S Teng, S Zhang, Q Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicle Re-Identification (Re-ID) is a challenging vision task mainly because the
appearance of a vehicle varies dramatically under different viewpoints. Moreover, different …

Two-level attention network with multi-grain ranking loss for vehicle re-identification

H Guo, K Zhu, M Tang, J Wang - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Vehicle re-identification (re-ID) aims to identify the same vehicle across multiple non-
overlapping cameras, which is rather a challenging task. On the one hand, subtle changes …

Vehicle Re-Identification based on Ensembling Deep Learning Features including a Synthetic Training Dataset, Orientation and Background Features, and Camera …

M Fernandez, P Moral… - Proceedings of the …, 2021 - openaccess.thecvf.com
Vehicle re-identification has the objective of finding a specific vehicle among different
vehicle crops captured by multiple cameras placed at multiple intersections. Among the …