Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological …
B Rossion - Visual Cognition, 2013 - Taylor & Francis
Two identical top halves of a face are perceived as being different when their bottom halves belong to different faces, showing that the parts of a face cannot be perceived independently …
D Algom, D Fitousi - Psychological Bulletin, 2016 - psycnet.apa.org
Research in the allied domains of selective attention and perceptual independence has made great advances over the past 5 decades ensuing from the foundational ideas and …
Face recognition is thought to rely on specific mechanisms underlying a perceptual bias toward processing faces as undecomposable wholes. This face-specific “holistic processing” …
Human vision serves the social function of detecting and discriminating with high efficiency conspecifics and other animals. The social world is made of social entities as much as the …
In object recognition, features are thought to be processed in a hierarchical fashion from low- level analysis (edges and lines) to complex figural processing (shapes and objects). Here …
Visual marketing communications consist of two components:(1) semantic content (eg, headings, images, copy) that communicates a brand's positioning, benefits, and personality …
N Baker, PJ Kellman - Journal of Experimental Psychology …, 2023 - psycnet.apa.org
The visual system can extract the global shape of an object from highly variable local contour features. We propose that there are separate systems for processing local and …
Deep convolutional neural networks (DCNNs) are frequently described as the best current models of human and primate vision. An obvious challenge to this claim is the existence of …