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Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
[article]
2022
arXiv
pre-print
Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers. However, adding imperceptible perturbations can easily fool the tracker and cause tracking failures. This risk is often overlooked and rarely researched at present. Therefore, to help increase awareness of the potential risk and the robustness of UAV tracking, this work proposes a novel adaptive adversarial attack approach,
arXiv:2203.01516v1
fatcat:4dichgbjlbf7te4ml43iaslt3q