Article

Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised Learning

2024-01-26

Abstract excerpt

We can visually discriminate and recognize a wide range of materials. Meanwhile, we use language to express our subjective understanding of visual input and communicate relevant information about the materials. Here, we investigate the relationship between visual judgment and language expression in material perception to understand how visual features relate to semantic representations. We use deep generative netw...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: 026c61bc-4d3b-5b90-b853-f20bbfc0d3c1
DOI: 10.1101/2024.01.25.577219

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised LearningDOI 10.1101/2024.01.25.577219Read

From visual appearance to material categoriesSemantic proximity Read

From visual appearance to material categoriesSemantic proximity Read

Unsupervised learning reveals interpretable latent representations for translucency perceptionSemantic proximity Read

Unsupervised learning predicts human perception and misperception of glossSemantic proximity Read

Scene wheels: Measuring perception and memory of real-world scenes with a continuous stimulus spaceSemantic proximity Read

Modeling Metallicity: Low Level Visual Features Support Robust Material PerceptionSemantic proximity Read

Neural basis of perceptual surface qualities: Evidence from EEG decodingSemantic proximity Read

Unified Generative Vision-Language UnderstandingSemantic proximity Read

An image-computable model of human visual shape similaritySemantic proximity Read

Decoupling lower-level and higher-level visual features in naturalistic scenesSemantic proximity Read

Comparing a computational model of visual problem solving with human vision on a difficult vision taskSemantic proximity Read

Using drawings and deep neural networks to characterize the building blocks of human visual similaritySemantic proximity Read