ArticleJournal of vision2008
SUN: A Bayesian framework for saliency using natural statistics.
Article in Journal of vision, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed.
- Trial
- On the importance of relative salience: comparing overt selection behavior of single versus simultaneously presented stimuli.PloS one · 2014Trial
- Eye movements during free viewing to maximize scene understanding.Nature communications · 2025Article
- A feature fusion-based line structured light 3-D imaging method.Scientific reports · 2025Article
- Statistical regularities in natural scenes that support figure-ground segregation by neural populations.PLoS computational biology · 2025Article
- Retina-Inspired Models Enhance Visual Saliency Prediction.Entropy (Basel, Switzerland) · 2025Article
- Vision toolkit part 3. Scanpaths and derived representations for gaze behavior characterization: a review.Frontiers in physiology · 2025Review
- Saliency models perform best for women's and young adults' fixations.Communications psychology · 2023Article
- Multiscale Cascaded Attention Network for Saliency Detection Based on ResNet.Sensors (Basel, Switzerland) · 2022Article
- A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns.Science advances · 2022Article
- DeepGaze III: Modeling free-viewing human scanpaths with deep learning.Journal of vision · 2022Article
- Bidirectional influences of information sampling and concept learning.Psychological review · 2022Article
- Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps.Journal of vision · 2022Article
- An improved saliency model of visual attention dependent on image content.Frontiers in human neuroscience · 2022Article
- Detecting Salient Image Objects Using Color Histogram Clustering for Region Granularity.Journal of imaging · 2021Article
- Object Detection Combining CNN and Adaptive Color Prior Features.Sensors (Basel, Switzerland) · 2021Article
- Gaze During Locomotion in Virtual Reality and the Real World.Frontiers in neuroscience · 2021Article
- Crowding and attention in a framework of neural network model.Journal of vision · 2020Article
- A dual foveal-peripheral visual processing model implements efficient saccade selection.Journal of vision · 2020Article
- Research on an Infrared Multi-Target Saliency Detection Algorithm under Sky Background Conditions.Sensors (Basel, Switzerland) · 2020Article
16 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
We propose a definition of saliency by considering what the visual system is trying to optimize when directing attention. The resulting model is a Bayesian framework from which bottom-up saliency emerges naturally as the self-information of visual features, and overall saliency (incorporating top-down information with bottom-up saliency) emerges as the pointwise mutual information between the features and the target when searching for a target. An implementation of our framework demonstrates that our model's bottom-up saliency maps perform as well as or better than existing algorithms in predicting people's fixations in free viewing. Unlike existing saliency measures, which depend on the statistics of the particular image being viewed, our measure of saliency is derived from natural image statistics, obtained in advance from a collection of natural images. For this reason, we call our model SUN (Saliency Using Natural statistics). A measure of saliency based on natural image statistics, rather than based on a single test image, provides a straightforward explanation for many search asymmetries observed in humans; the statistics of a single test image lead to predictions that are not consistent with these asymmetries. In our model, saliency is computed locally, which is consistent with the neuroanatomy of the early visual system and results in an efficient algorithm with few free parameters.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.