Vehicle Re-Identification Method Based on Efficient Self-Attention CNN-Transformer and Multi-Task Learning Optimization

Vehicle Re-Identification Method Based on Efficient Self-Attention CNN-Transformer and Multi-Task Learning Optimization

To address the challenges of low accuracy in vehicle re-identification caused by intra-class variations, inter-class similarities and environmental factors, this paper proposes a CNN-Transformer architecture (IBNT-Net) for vehicle re-identification. The method builds upon a ResNet50-IBN backbone net...

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Bibliographic Details
Main Authors: Yu Wang, Rui Li, Yihan Shao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
vehicle re-identification
intra-class variations
inter-class similarities
self-attention mechanism
multi-branch architecture
multi-task learning
Online Access:https://www.mdpi.com/1424-8220/25/10/2977
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