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Parallelism Network with Partial-aware and Cross-correlated Transformer for Vehicle Re-identification
Proceedings of the 2022 International Conference on Multimedia Retrieval
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 finegrained features and the relationshipdoi:10.1145/3512527.3531412 fatcat:yislmidsinbpppzqg4ndkzqjny