Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation-Reference-Cited by-同舟云学术

Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation

Published:2020-10-12 Issue:1 Volume:21 Page:39-66
ISSN:1387-5868
Container-title:Spatial Cognition & Computation
language:en
Short-container-title:Spatial Cognition & Computation

Author:

Yesiltepe Demet¹,Ozbil Torun Ayse¹,Coutrot Antoine²,Hornberger Michael³,Spiers Hugo⁴,Conroy Dalton Ruth⁵

Affiliation:

1. Department of Architecture, Northumbria University, Newcastle Upon Tyne, UK

2. CNRS, Laboratoire des Sciences du Numérique de Nantes, University of Nantes, Nantes, France

3. Norwich Medical School, University of East Anglia, Norwich, UK

4. Department of Experimental Psychology, University College London, London, UK

5. Department of Architecture, University of Lancaster, Lancaster, UK

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Earth-Surface Processes,Computer Vision and Pattern Recognition,Experimental and Cognitive Psychology,Modeling and Simulation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13875868.2020.1830993

Reference66 articles.

1. Effects of active and passive exploration of the built environment on memory during wayfinding

2. Memory for Salient Landmarks: Empirical Findings and a Cognitive Model

3. Multi-Level Model for Video Saliency Detection

4. State-of-the-Art in Visual Attention Modeling

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