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Jul 13, 2022 · Use the generated feature value to calculate the distance to the feature value of other vehicle images, and re-identify massive vehicle images.
In this article, we propose a vehicle re-identification method based on vehicle semantic information and deep learning.
Person re-identification is an emerging research field in computer vision. Our paper aims to study how to improve the discrimination of person features. We find ...
In summary, our main contributions are in four-fold: 1). We propose a novel deep binary embedding model which en- ables fast cross-view vehicle Re-ID. 2) The ...
Nov 6, 2024 · Through this paper, we aim to provide a nuanced understanding of the current landscape of deep-learning techniques in vehicle Re-ID, offering ...
Nov 3, 2024 · In this study, we propose a Vehicle Re-ID method based on super resolution and pyramidal convolution residual network.
Zhu et al. (2018) proposed a joint deep learning method (JFSDL) for vehicle re-identification. The Siamese Deep Network is used to extract the features of the ...
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This survey gives a comprehensive review of the current five types of deep learning-based methods for vehicle re-identification, and compares them from ...
In this paper, we built a vehicle re-identification framework based on unsupervised local area detection and view discrimination.
This review examines the current state of deep learning-based vehicle ReID. It serves as a foundation and a starting point for future work, pointing out the ...