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Image Contour Detection Based on Visual Pathway Information Transfer Mechanism
Based on the coding mechanism and interactive features of visual information in the visual pathway, a new method of image contour detection is...
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Contour extraction model introducing contrast adaptive characteristics based on visual pathway
Effectively extracting image subject contours holds significant importance for subsequent image processing tasks. Recognizing the pivotal role of...
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Visual Perception of Threat: Structure, Dynamics, and Individual Differences
Efficient recognition of potential threats greatly enhances an organism’s chances of survival. This involves the ability to rapidly identify and...
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The Hierarchy of Visual Attention in Natural Scenes
Hierarchical visual attention refers to the global and local visual pathways that process information that gets integrated to support where one...
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A contour perception model that simulates the complex connection pattern of the visual cortex
Contour detection is the basic content of image processing and plays an important role in image analysis and target recognition. This paper proposed...
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Bio-inspired Multi-Sensory Pathway Network for Change Detection
Change detection is a significantly important task in the field of remote sensing and can be widely used in the urban construction planning, disaster...
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Saliency prediction based on multi-channel models of visual processing
Visual attention is one of the most significant characteristics for selecting and understanding the outside redundancy world. The human vision system...
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Visual Modeling of Multiple Sclerosis Patient Pathways: The Healthcare Workers’ Perspectives
Multiple Sclerosis (MS) necessitates tailored care along intricate pathways throughout a patient's lifetime. Visualizing these pathways enhances the...
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Neural Modeling and Real-Time Environment Training of Human Binocular Stereo Visual Tracking
Simulating the human natural visual system is beneficial for understanding brain intelligence and exploiting new aspects of computer vision. Previous...
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Digital Watermarking: Pathway to Secure!
The progression in information technology has led to some thoughtful anxieties about the piracy and exclusive rights of digital content. The...
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Sparse and Topological Coding for Visual Localization of Autonomous Vehicles
Efficient encoding of visual information is essential to the success of vision-based navigation tasks in large-scale environments. To do so, we...
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Mind Your Step: A Diary Study of a Person with Visual Impairment Navigating a City with a Smart Cane
Several studies have documented the navigation requirements and preferences of people with visual impairments. The primary methods used in such...
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Brain-inspired models for visual object recognition: an overview
Visual object recognition is one of the most fundamental and challenging research topics in the field of computer vision. The research on the neural...
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Sensory reweighting: a common mechanism for subjective visual vertical and cybersickness susceptibility
The malaise symptoms of cybersickness are thought to be related to the sensory conflict present in the exposure to virtual reality (VR) content. When...
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First-order Layer in Artificial Pain Pathway
The neural mechanisms involved in pain perception consist of a pathway which carry signals from the periphery to the cerebral cortex. First-order...
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Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches
Vision plays a peculiar role in intelligence. Visual information, forming a large part of the sensory information, is fed into the human brain to...
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A Critical Analysis: Key Strategies of Far-Right Online Visual Propaganda
The approach from the far-right in producing and disseminating visual propaganda has allowed for a persistent online presence to be maintained,...
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A deep convolutional visual encoding model of neuronal responses in the LGN
The Lateral Geniculate Nucleus (LGN) represents one of the major processing sites along the visual pathway. Despite its crucial role in processing...
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SCENE-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements
We present SCENE-pathy, a dataset and a set of baselines to study the visual selective attention (VSA) of people towards the 3D scene in which they...
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RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification
In this work, we present RadioTransformer, a novel student-teacher transformer framework, that leverages radiologists’ gaze patterns and models their...