State-of-the-Art in Visual Attention Modeling
Explore this paper's citation graph
- Type
- article
- Published
- 2013-01-01
- Cited by
- 1,933
- References
- 229
- OpenAlex
- https://openalex.org/W2164084182
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:641747
Keywords
Computer science, Computational model, Artificial intelligence, Machine learning, Cognition
References
- Covert shifts of attention precede involuntary eye movements.
- A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
- A Context-Dependent Attention System for a Social Robot
- Eye Movements and Vision
- A Reactive Vision System: Active-Dynamic Saliency
- Gestikbasierte Mensch-Maschine-Kommunikation auf der Grundlage visueller Aufmerksamkeit und Adaptivität
- Visual Search and Attention: Review A Signal Detection Theory Approach
- What and where: a Bayesian inference theory of visual attention
- Shifts in selective visual attention: towards the underlying neural circuitry.
- Learning to predict where humans look
- Visual attention in a mobile robot
- VISUAL ATTENTION-BASED ROBOT SELF-LOCALIZATION
- Top-down control of visual attention in object detection
- Video summarization using a visual attention model
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
- VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search
- Reinforcement learning with selective perception and hidden state
- Visual search has no memory
- Saliency, Scale and Image Description
- Models of bottom-up and top-down visual attention
Cited by
- Capturing structural distortions in digital images and videos
- What do saliency models predict?
- Introducing context-dependent and spatially-variant viewing biases in saccadic models.
- Gaze control for visually guided manipulation
- Visual Saliency in Video Compression and Transmission
- Top-Down Visual Attention with Complex Templates
- Saccadic Eye Movements and the Generalized Pareto Distribution
- Online Multi-Modal Robust Non-Negative Dictionary Learning for Visual Tracking
- Towards the quantitative evaluation of visual attention models.
- CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
- Enhancement of Salient Image Regions for Visual Object Detection
- Earth mover's distances of feature vectors in large data analyses
- Visual Attention Retargeting
- Salient object detection using normalized cut and geodesics
- Towards three-dimensional visual saliency
- Mesure sans référence de la qualité des vidéos haute définition diffusées avec des pertes de transmission
- Investigating individual differences in learning-based visual saliency models (情報論的学習理論と機械学習)
- A New Saliency Based Video Coding Method with HEVC
- Salience-based progression of visual attention: Time course
- A visual attention model for stereoscopic 3D images using monocular cues
Related papers
- From Computer Metaphor to Computational Modeling: The Evolution of Computationalism
- A review of visual sustained attention: neural mechanisms and computational models
- Toward computational neuroconstructivism: a framework for developmental systems neuroscience.
- A hierarchical computational model of visual attention using multi-layer analysis
- Computational models of attention
- Depth Information Fused Computational Model of Visual Attention