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Updated: Jun 17, 2026
03:31
End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Everyone knows what is interesting: salient locations which should be fixated
Christopher Michael Masciocchi1, Stefan Mihalas, Derrick Parkhurst
1Department of Psychology, Iowa State University, Ames, IA, USA. cmascioc@iastate.edu
Journal of Vision
|January 8, 2010
Summary
Humans largely agree on interesting scene points, guided by bottom-up saliency. This visual saliency influences both eye movements and conscious choices about scene prioritization.
Area of Science:
- Cognitive Neuroscience
- Visual Perception
- Computational Neuroscience
Background:
- Natural scenes are complex, requiring sequential processing.
- Human perception involves selecting and prioritizing visual information.
Purpose of the Study:
- Investigate how humans select and prioritize information in complex scenes.
- Examine the role of overt attention (eye movements) and conscious decisions.
- Determine the influence of bottom-up saliency on these processes.
Main Methods:
- Free-viewing eye-tracking paradigm with over one thousand participants.
- Conscious choice task asking observers to identify interesting scene points.
- Correlation analysis between human selections, eye movements, and bottom-up saliency models.
Main Results:
- High agreement among observers on interesting scene points.
- Observer selections correlate with eye movement patterns.
- Both selections and eye movements correlate with bottom-up saliency predictions.
Conclusions:
- Bottom-up visual saliency significantly influences human attention and scene prioritization.
- Saliency affects cognitive processes beyond immediate sensory input, including conscious choices.
- This suggests a fundamental role for low-level visual features in guiding higher-level cognition.
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