Ensemble siamese networks for object tracking
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-06911-4.pdf
Reference62 articles.
1. Li S, Yeung DY (2017) Visual object tracking for unmanned aerial vehicles: a benchmark and new motion models. National Conference on Artificial Intelligence, pp. 4140–4146
2. Wu Y, Lim J, Yang MH (2015) Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell 37(9):1834–1848. https://doi.org/10.1109/TPAMI.2014.2388226
3. Liang P, Blasch E, Ling H (2015) Encoding color information for visual tracking: algorithms and benchmark. IEEE Trans Image Process 24(12):5630–5644. https://doi.org/10.1109/TIP.2015.2482905
4. Bertinetto L, Valmadra J (2016) Fully-convolutional siamese networks for object tracking. Eur Conf Comput Vision. https://doi.org/10.1007/978-3-319-48881-3_56
5. Nam H, Han B (2016) Learning multi-domain convolutional neural networks for visual tracking. Comput Vision Pattern Recogn. https://doi.org/10.1109/CVPR.2016.465
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