[PDF][PDF] LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification

AMNTA Savakis - researchgate.net
Vehicle re-identification is an important computer vision task where the objective is to
identify a specific vehicle among a set of vehicles seen at various viewpoints. Recent …

LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification

AMN Taufique, A Savakis - Neurocomputing, 2021 - Elsevier
Vehicle re-identification is an important computer vision task where the objective is to
identify a specific vehicle among a set of vehicles seen at various viewpoints. Recent …

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 …

A structured graph attention network for vehicle re-identification

Y Zhu, ZJ Zha, T Zhang, J Liu, J Luo - Proceedings of the 28th ACM …, 2020 - dl.acm.org
Vehicle re-identification aims to identify the same vehicle across different surveillance
cameras and plays an important role in public security. Existing approaches mainly focus on …

Weighted local feature vehicle re-identification network

L Li, Y Xu, X Zhang - Proceedings of the 4th International Conference on …, 2020 - dl.acm.org
With the rapid development of science and technology, how to accurately identify the same
vehicle under different cameras is of great significance to smart city construction. At present …

[HTML][HTML] Joint multiple fine-grained feature for vehicle re-identification

Y Xu, L Rong, X Zhou, X Pan, X Liu - Array, 2022 - Elsevier
The process of recognizing the same vehicle in different scenes is called vehicle re-
identification. However, due to the different locations of the surveillance cameras, there may …

Multi-proxy constraint loss for vehicle re-identification

X Chen, H Sui, J Fang, M Zhou, C Wu - Sensors, 2020 - mdpi.com
Vehicle re-identification plays an important role in cross-camera tracking and vehicle search
in surveillance videos. Large variance in the appearance of the same vehicle captured by …

Graph-Based Vehicle Keypoint Attention Model for Vehicle Re-identification

Y Li, Z Wu, Y Lin, K Lv - International Conference on Neural Information …, 2023 - Springer
Vehicle re-identification is the task of locating a particular vehicle image among a set of
images of vehicles captured from different cameras. In recent years, many methods focus on …

Identity-Guided Spatial Attention for Vehicle Re-Identification

K Lv, S Han, Y Lin - Sensors, 2023 - mdpi.com
In vehicle re-identification, identifying a specific vehicle from a large image dataset is
challenging due to occlusion and complex backgrounds. Deep models struggle to identify …

Efficient but lightweight network for vehicle re-identification with center-constraint loss

Z Yu, M Zhu - Neural Computing and Applications, 2022 - Springer
Vehicle re-identification aims to retrieve the target vehicle from the image gallery quickly and
accurately. Vehicle re-identification with deep learning has achieved considerable …