BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision
Author:
Funder
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-023-01937-0.pdf
Reference84 articles.
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3. Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. (2016). Fully-convolutional siamese networks for object tracking. In European conference on computer vision (pp. 850–865). Springer.
4. Bhat, G., Danelljan, M., Gool, L. V., & Timofte, R. (2019). Learning discriminative model prediction for tracking. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 6182–6191).
5. Bhat, G., Danelljan, M., Gool, L. V., & Timofte, R. (2020). Know your surroundings: Exploiting scene information for object tracking. In European conference on computer vision (pp. 205–221). Springer.
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