A Novel Matching Operator for Visual Object Tracking
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11192-6.pdf
Reference42 articles.
1. Soleimanitaleb Z, Keyvanrad MA (2022) Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics. arXiv preprint arXiv:2201.13066. https://doi.org/10.48550/arXiv.2201.13066
2. Abbasi S, Rezaeian M (2021) Visual object tracking using similarity transformation and adaptive optical flow. Multimed Tools Appl 80(24):33455–33473. https://doi.org/10.1007/s11042-021-11344-7
3. Zuo M (2020) Survey of target tracking algorithm based on siamese network structure. J Phys Conf Ser 2203:012035
4. Bertinetto L, Valmadre J, Henriques JF, Vedaldi A, Torr PHS (2016) Fully-convolutional siamese networks for object tracking. Computer vision–ECCV 2016 workshops: Amsterdam, The Netherlands, October 8–10 and 15–16. Springer, Heidelberg, pp 850–865
5. Zhang Z, et al (2021) Learn to match: Automatic matching network design for visual tracking. Proceedings of the IEEE/CVF International Conference on Computer Vision
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