An efficient multiresolution network for vehicle reidentification
In general, vehicle images have varying resolutions due to vehicles' movements and
different camera settings. However, most existing vehicle reidentification models are single …
different camera settings. However, most existing vehicle reidentification models are single …
A vehicle re-identification framework based on the improved multi-branch feature fusion network
L Rong, Y Xu, X Zhou, L Han, L Li, X Pan - Scientific Reports, 2021 - nature.com
Vehicle re-identification (re-id) aims to solve the problems of matching and identifying the
same vehicle under the scenes across multiple surveillance cameras. For public security …
same vehicle under the scenes across multiple surveillance cameras. For public security …
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 …
identify a specific vehicle among a set of vehicles seen at various viewpoints. Recent …
A structured graph attention network for vehicle re-identification
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 …
cameras and plays an important role in public security. Existing approaches mainly focus on …
Enhancing part features via contrastive attention module for vehicle re-identification
M Li, M Wei, X He, F Shen - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Vehicle re-identification's methods usually exploit the spatial uniform partition strategy via
dividing deep feature maps into several parts. Then each of them is further independently …
dividing deep feature maps into several parts. Then each of them is further independently …
Disentangled feature learning network and a comprehensive benchmark for vehicle re-identification
Vehicle Re-Identification (ReID) is of great significance for public security and intelligent
transportation. Large and comprehensive datasets are crucial for the development of vehicle …
transportation. Large and comprehensive datasets are crucial for the development of vehicle …
Parsing-based view-aware embedding network for vehicle re-identification
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 …
the cross-camera scenario. The main challenges of this task are the large intra-instance …
Multi-Branch Enhanced Discriminative Network for Vehicle Re-Identification
Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous
cameras. This is a complex classification task, and the fine-grained information and strong …
cameras. This is a complex classification task, and the fine-grained information and strong …
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
Vehicle re-identification is an important problem and becomes desirable with the rapid
expansion of applications in video surveillance and intelligent transportation. By recalling …
expansion of applications in video surveillance and intelligent transportation. By recalling …
Learning latent features with local channel drop network for vehicle re-identification
X Fu, J Peng, G Jiang, H Wang - Engineering Applications of Artificial …, 2022 - Elsevier
Vehicle re-identification targets to find the target vehicle images in a large dataset which is
composed of vehicle images from multiple non-overlapping cameras. Due to the various …
composed of vehicle images from multiple non-overlapping cameras. Due to the various …