Literature DB >> 22773434

Methods for comparing scanpaths and saliency maps: strengths and weaknesses.

Olivier Le Meur1, Thierry Baccino.   

Abstract

In this article, we are interested in the computational modeling of visual attention. We report methods commonly used to assess the performance of these kinds of models. We survey the strengths and weaknesses of common assessment methods based on diachronic eye-tracking data. We then illustrate the use of some methods to benchmark computational models of visual attention.

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Mesh:

Year:  2013        PMID: 22773434     DOI: 10.3758/s13428-012-0226-9

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  20 in total

1.  Computational assessment of visual search strategies in volumetric medical images.

Authors:  Gezheng Wen; Avigael Aizenman; Trafton Drew; Jeremy M Wolfe; Tamara Miner Haygood; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-06

2.  Information-theoretic model comparison unifies saliency metrics.

Authors:  Matthias Kümmerer; Thomas S A Wallis; Matthias Bethge
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-10       Impact factor: 11.205

3.  Visual search in breast imaging.

Authors:  Ziba Gandomkar; Claudia Mello-Thoms
Journal:  Br J Radiol       Date:  2019-07-18       Impact factor: 3.039

4.  Comparative study of computational visual attention models on two-dimensional medical images.

Authors:  Gezheng Wen; Brenda Rodriguez-Niño; Furkan Y Pecen; David J Vining; Naveen Garg; Mia K Markey
Journal:  J Med Imaging (Bellingham)       Date:  2017-05-10

5.  Visual Attention and Applications in Multimedia Technologies.

Authors:  Patrick Le Callet; Ernst Niebur
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2013-09       Impact factor: 10.961

6.  Using simultaneous scanpath visualization to investigate the relationship between accuracy and eye movement during medical image interpretation.

Authors:  Alan Davies; Simon Harper; Markel Vigo; Caroline Jay
Journal:  J Eye Mov Res       Date:  2018-02-24       Impact factor: 0.957

7.  Deep Learning-Based Grimace Scoring Is Comparable to Human Scoring in a Mouse Migraine Model.

Authors:  Chih-Yi Chiang; Yueh-Peng Chen; Hung-Ruei Tzeng; Man-Hsin Chang; Lih-Chu Chiou; Yu-Cheng Pei
Journal:  J Pers Med       Date:  2022-05-24

8.  REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays.

Authors:  Ricardo Bigolin Lanfredi; Mingyuan Zhang; William F Auffermann; Jessica Chan; Phuong-Anh T Duong; Vivek Srikumar; Trafton Drew; Joyce D Schroeder; Tolga Tasdizen
Journal:  Sci Data       Date:  2022-06-18       Impact factor: 8.501

9.  Temporal context guides visual exploration during scene recognition.

Authors:  James E Kragel; Joel L Voss
Journal:  J Exp Psychol Gen       Date:  2020-09-24

10.  Visual Saliency Prediction and Evaluation across Different Perceptual Tasks.

Authors:  Shafin Rahman; Neil Bruce
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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