Web: http://arxiv.org/abs/2106.13389

June 24, 2022, 1:12 a.m. | Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

cs.CV updates on arXiv.org arxiv.org

Conventional saliency prediction models typically learn a deterministic
mapping from an image to its saliency map, and thus fail to explain the
subjective nature of human attention. In this paper, to model the uncertainty
of visual saliency, we study the saliency prediction problem from the
perspective of generative models by learning a conditional probability
distribution over the saliency map given an input image, and treating the
saliency prediction as a sampling process from the learned distribution.
Specifically, we propose a …

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