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Vehicle Re-Identification Method Based on Adaptive Local Partitioning Vision Transformer
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Mengxi Xu1, Haixin Chen2, Huanyu Xu3
Automobile Technology | 2026, (4) : 17 - 25
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Automobile Technology | 2026, (4): 17-25
Vehicle Re-Identification Method Based on Adaptive Local Partitioning Vision Transformer
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Mengxi Xu1, Haixin Chen2, Huanyu Xu3
Affiliations
  • 1.School of Transportation and Vehicle Engineering, Wuxi University, Wuxi 214105
  • 2.School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044
  • 3.School of Internet of Things Engineering, Wuxi University, Wuxi 214105
Published: 2026-04-24 doi: 10.19620/j.cnki.1000-3703.20250449
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To address insufficient feature representation and poor robustness caused by viewpoint changes, occlusions, and visual similarity, this paper proposes an adaptive local partitioning Vision Transformer for vehicle re-identification. Firstly, an Adaptive Local Partitioning (ALP) module is designed to perform dynamic regional division. Secondly, by integrating low-level visual details with high-level global semantics through a Hierarchical Attention Fusion (HAF) module, it provides feature guidance for adaptive region segmentation. Finally, a Multi-Feature Embedding (MFE) module is introduced to enhance discriminability using a dynamic weighting mechanism for camera and viewpoint information. The experimental results show that in the vehicle re-identification task, the proposed method achieved an mAP of 81.0% and a Rank-1 of 97.1% on the VeRi-776 dataset, and a Rank-1 of 80.2% on the VehicleID dataset, significantly improving the model's identification accuracy and robustness.

Vehicle re-identification  /  Vision Transformer  /  Local partition  /  Attention fusion
徐萌兮, 陈海鑫, 徐焕宇. 基于自适应局部划分Vision Transformer的车辆重识别方法. 汽车技术, 2026 , (4) : 17 -25 . DOI: 10.19620/j.cnki.1000-3703.20250449
Mengxi Xu, Haixin Chen, Huanyu Xu. Vehicle Re-Identification Method Based on Adaptive Local Partitioning Vision Transformer[J]. Automobile Technology, 2026 , (4) : 17 -25 . DOI: 10.19620/j.cnki.1000-3703.20250449
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Year 2026 volume Issue 4
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doi: 10.19620/j.cnki.1000-3703.20250449
  • Online Date：2026-09-23
  • Published：2026-04-24
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  • Revised：2025-11-24
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Affiliations
    1.School of Transportation and Vehicle Engineering, Wuxi University, Wuxi 214105
    2.School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044
    3.School of Internet of Things Engineering, Wuxi University, Wuxi 214105
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