Vehicle re-identification based on keypoint segmentation of original image
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03192-1.pdf
Reference53 articles.
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2. Liu X, Liu W, Mei T et al (2016) A deep learning-based approach to progressive vehicle re-identification for urban surveillance. European conference on computer vision. Springer, Cham, pp 869–884
3. Wu F, Yan S, Smith JS et al (2018) Joint semi-supervised learning and re-ranking for vehicle re-identification. 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, pp 278–283
4. Liu H, Tian Y, Yang Y, Pang L, Huang T (2016) Deep relative distance learning: Tell the difference between similar vehicles. In: roceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2167–2175
5. Yan K, Tian Y, Wang Y et al (2017) Exploiting multi-grain ranking constraints for precisely searching visually-similar vehicles. Proceedings of the IEEE international conference on computer vision, pp 562–570
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