Unsupervised cycle-consistent adversarial attacks for visual object tracking
Author:
Funder
Xuzhou Science and Technology Bureau
Key Research and Development Program of Wuhu
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Human-Computer Interaction
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5. Q. Wu, J. Wan, A.B. Chan, Progressive unsupervised learning for visual object tracking, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 2993–3002.
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