Guided Search 4.0: Current Progress With a Model of Visual Search

By Jeremy M. Wolfe. Integrated Models of Cognitive Systems, 2007

809 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/207ddf84bb5bd5006ad8e6124a5452524fca1c8a

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Citations in the corpus

Modeling Search for People in 900 Scenes: A combined source model of eye guidance (2009, neutral): “Computational models of saliency are generally based on one principle: They use a mixture of local image features (e.g., colour and orientation at various spatial scales) to determine regions that are local outliers given the statistical distribution of features across a larger region of the image.”
Computational visual attention systems and their cognitive foundations: A survey (2010, methodology): “In [Wolfe 2007], this results on average in about three inhibited items at a time.”
Visual search: a retrospective. (2011, background): “In its latest update (GS 4.0; Wolfe, 2007), the model is expanded to an array of new phenomena including guidance by scene statistics through a pathway that is not subject to an attentional bottleneck.”
Pupillometry (2012, background): “…in working memory interact with the salient bottom-up signals of objects in the visual scene, so that the most relevant objects are selected attentively and thus perceived while unimportant objects are confined to a negligible status (Bundesen, Habekost, & Kyllingsbæk, 2005; Wolfe, 1994, 2006).”
Breaking the Fourth Wall of Cognitive Science (2016, background): “Perhaps the information-search and communicative functions of gaze are unique, top-down contributors to the control of visual attention (e.g., Navalpakkam & Itti, 2005; Wolfe, 2007).”
Guided Search 6.0: An updated model of visual search (2021, background): “GS3 (Wolfe & Gancarz, 1996) was something of a dead end, and GS4 (Wolfe, 2007) was published as a book chapter and, thus, less widely known.”
Salient objects in a scene trigger enhanced perceptual selection and memory encoding (2025, unknown): “However, many theories of visual processing propose that the difficulty of perceptual processing is resolved at that stage of perceptual processing, with the output of perception being essentially invariant to the difficulty of the prior stage (Miller, 1988, Pashler, 1998, Wolfe, 2007).”