Does vehicle number change after re registration?
10 answers found
Experimental results on two public vehicle re-identification datasets including VeRi-776 and VehicleID have shown that our proposed method achieves significant improvements over the state-of-the-art methods.
A Structured Graph Attention Network for Vehicle Re-Identification
12 Oct 2020• 7 citations
Extensive experiments conducted on two commonly used datasets VeRi-776 and VehicleID have demonstrated that the proposed DQAL approach outperforms multiple recently reported vehicle Re-ID methods.
Compared with the global appearance, local regions such as decorations and inspection stickers attached to the windshield, may be more distinctive for vehicle Re-ID.
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
23 Jul 2018• 108 citations
Experimental results illustrate that our approach achieves consistent improvements over state-of-the-art vehicle re-ID methods.
Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network
12 Mar 2018• 36 citations
The extensive experiments on a large-scale traffic surveillance vehicle dataset demonstrate that our proposed approach substantially outperforms the state-of-the-art methods on vehicle Re-Id.
Multi-modal metric learning for vehicle re-identification in traffic surveillance environment
01 Sep 2017• 28 citations
Moreover, the approach is generic and has been the first attempt to tackle the vehicle re-ID problem in an unsupervised manner.
The experimental results show that our method outperforms most state-of-the-art approaches for vehicle Re-ID, even if only the appearance module is used.
Combination of Appearance and License Plate Features for Vehicle Re-Identification
01 Sep 2019• 7 citations
Experimental results demonstrate the effectiveness of our method and show that it achieves the state-of-the-art performance on both vehicle re-identification and retrieval.
Deep joint discriminative learning for vehicle re-identification and retrieval
16 Sep 2017• 46 citations
By conducting comprehensive experiments on two vehicle re-identification benchmark datasets VeRi and VehicleID, we demonstrate that the proposed model achieves superior performance over state-of-the-art methods.
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification
02 Dec 2018• 27 citations
Extensive experiments show that the proposed JFSDL method is superior to multiple state-of-the-art vehicle re-identification methods on both the VehicleID and VeRi data sets.
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