The paper introduces DuaLossDef, a defense network designed for object tracking to counter adversarial attacks. It utilizes Dua-Loss to simultaneously attack both classification and regression branches for robust defense. Extensive experiments on various benchmarks demonstrate the effectiveness of DuaLossDef in maintaining defense robustness and transferability across different trackers. The proposed method achieves high processing efficiency, making it suitable for integration with existing high-speed trackers without significant computational overhead.
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arxiv.org
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by Zhewei Wu,Ru... ב- arxiv.org 02-29-2024
https://arxiv.org/pdf/2402.17976.pdfשאלות מעמיקות