Smart City Gnosys

Smart city article details

Title	Res-Vit: A Vehicle Re-Identification Method Based On Residual Attention Vision Transformer
ID_Doc	45136
Authors	Xiong N.; Cao J.; Cao D.
Year	2025
Published	Proceedings of SPIE - The International Society for Optical Engineering, 13637
DOI	http://dx.doi.org/10.1117/12.3056813
Abstract	Vehicle re-identification is a crucial area in several domains, including intelligent transportation, smart city, and public security. However, existing methods are either contain interdependent and redundant features, or fail to focus on the global context. We propose a novel method, Res-ViT, which improves the Vision Transformer by leveraging residual network. Specifically, we propose residual attention mechanism and re-ranking to improve the result. We evaluate Res-ViT and the results demonstrate that Res-ViT outperforms in terms of performance, and reliability. © 2025 SPIE.
Author Keywords	re-ranking; residual attention; vehicle re-identification; Vision Transformer

Similar Articles

Id	Similarity	Authors	Title	Published
58804	0.924	Taleb H.; Wang C.	Transformer-Based Vehicle Re-Identification With Multiple Details	Proceedings of SPIE - The International Society for Optical Engineering, 13074 (2024)
6641	0.904	Yi X.; Wang Q.; Liu Q.; Rui Y.; Ran B.	Advances In Vehicle Re-Identification Techniques: A Survey	Neurocomputing, 614 (2025)
60777	0.894	Qian Y.; Barthelemy J.; Iqbal U.; Perez P.	V2Reid: Vision-Outlooker-Based Vehicle Re-Identification	Sensors, 22, 22 (2022)
60943	0.892	Kuma R.; Weill E.; Aghdasi F.; Sriram P.	Vehicle Re-Identification: An Efficient Baseline Using Triplet Embedding	Proceedings of the International Joint Conference on Neural Networks, 2019-July (2019)
60940	0.889	Kedkar N.; Karthik Reddy K.; Arya H.; Sunil C.K.; Patil N.	Vehicle Re-Identification Using Convolutional Neural Networks	Lecture Notes in Networks and Systems, 660 LNNS (2023)
28061	0.887	Song L.; Zhou X.; Chen Y.	Global Attention-Assisted Representation Learning For Vehicle Re-Identification	Signal, Image and Video Processing, 16, 3 (2022)
58801	0.884	Lian J.; Wang D.; Zhu S.; Wu Y.; Li C.	Transformer-Based Attention Network For Vehicle Re-Identification	Electronics (Switzerland), 11, 7 (2022)
25511	0.884	Regmi B.S.; Dailey M.N.; Ekpanyapong M.	Exploring Deep Learning Techniques For Vision-Based Vehicle Re-Identification: A Traffic Intersection Case Study	Communications in Computer and Information Science, 1942 CCIS (2023)
5202	0.883	Wang H.; Hou J.; Chen N.	A Survey Of Vehicle Re-Identification Based On Deep Learning	IEEE Access, 7 (2019)
21185	0.881	Dilshad N.; Song J.	Dual-Stream Siamese Network For Vehicle Re-Identification Via Dilated Convolutional Layers	Proceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 (2021)