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.
@article{arxiv.1605.09451,
title = {Quantitative Analysis of Saliency Models},
author = {Flora Ponjou Tasse and Jiří Kosinka and Neil Anthony Dodgson},
journal= {arXiv preprint arXiv:1605.09451},
year = {2016}
}