Parallelism Network with Partial-aware and Cross-correlated Transformer for Vehicle Re-identification
Guangqi Jiang, Huibing Wang, Jinjia Peng, Xianping Fu · 2022
Vehicle re-identification (ReID) aims to identify a specific vehicle in the dataset captured by non-overlapping cameras, which plays a great significant role in the development of intelligent transportation systems. Even though CNN-based model achieves impressive performance for the ReID task, its Gaussian distribution of effective receptive fields has limitations in capturing the long-term dependence between features. Moreover, it is crucial to capture fine-grained features and the relationship between features as much as possible from vehicle images.