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arXiv · 1605.09451

Quantitative Analysis of Saliency Models

Flora Ponjou Tasse·Jiří Kosinka·Neil Anthony Dodgson
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Abstract

Previous saliency detection research required the reader to evaluate performance qualitatively, based on renderings of saliency maps on a few shapes. This qualitative approach meant it was unclear which saliency models were better, or how well they compared to human perception. This paper provides a quantitative evaluation framework that addresses this issue. In the first quantitative analysis of 3D computational saliency models, we evaluate four computational saliency models and two baseline models against ground-truth saliency collected in previous work.

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Flora Ponjou Tasse, Jiří Kosinka, Neil Anthony Dodgson. 2016-05-31. Quantitative Analysis of Saliency Models. https://arxiv.org/abs/1605.09451

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