Robust and Refined Salient Object Detection Based on Diffusion Model
Hanchen Ye,
Yuyue Zhang,
Xiaoli Zhao
Abstract:Salient object detection (SOD) networks are vulnerable to adversarial attacks. As adversarial training is computationally expensive for SOD, existing defense methods instead adopt a noise-against-noise strategy that disrupts adversarial perturbation and restores the image either in input or feature space. However, their limited learning capacity and the need for network modifications limit their applicability. In recent years, the popular diffusion model coincides with the existing defense idea and exhibits ex… Show more
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