Towards standardization of evaluation metrics and methods for visual attention models

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Abstract

Every field of science requires standardization of metrics and measurement methods for detecting true advancement in research. Efforts on computational models of visual attention models have increased in the recent years and now it is important to have standard measuring techniques in this area in order to avoid undue deceleration in its progress. This paper performs a review of the evaluation techniques used by different researchers in the field and brings them in an organized structure. Further methods and metrics are also proposed that would lead to more objective and quantitative evaluation of the attention models. © 2009 Springer Berlin Heidelberg.

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Aziz, M. Z., & Mertsching, B. (2009). Towards standardization of evaluation metrics and methods for visual attention models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5395 LNAI, pp. 227–241). https://doi.org/10.1007/978-3-642-00582-4_17

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