Quantitative Analysis of Saliency Models

May 31, 2016 Β· Declared Dead Β· πŸ› SIGGRAPH Asia Technical Briefs

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Authors Flora Ponjou Tasse, JiΕ™Γ­ Kosinka, Neil Anthony Dodgson arXiv ID 1605.09451 Category cs.GR: Graphics Cross-listed cs.CV Citations 14 Venue SIGGRAPH Asia Technical Briefs Last Checked 5 months ago
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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