IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking

Chao Ma, Yibing Song, Xiaokang Yang, Shuai Jia

arXiv · PDF · Open in the Atlas

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• VISION-SJTU/IoUattack

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Abstract

IoU scores, the proposed attack method degrades the accuracy of temporal coherent bounding boxes (i.e., object motions) accordingly. In addition, we transfer the learned perturbations to the next few frames to initialize temporal motion attack. We validate the proposed IoU attack on stateof-the-art deep trackers (i.e., detection based, correlation filter based, and long-term trackers). Extensive experiments on the benchmark datasets indicate the effectiveness of the proposed IoU attack method. The source code is available at https://github.com/VISION-SJTU/IoUattack.

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