Results 51 to 60 of about 116,902 (337)
Investigating bottom-up auditory attention
Frontiers in Human Neuroscience, 2014 Bottom-up attention is a sensory-driven selection mechanism that directs perception towards a subset of the stimulus that is considered salient, or attention-grabbing. Most studies of bottom-up auditory attention have adapted frameworks similar to visual
Emine Merve Kaya, Mounya eElhilali
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 Shadow has been increasingly a kind of significant aid information for object extraction and scene interpretation in synthetic aperture radar images, which makes SAR shadow detection an important issue.
Haixiang Li +4 more
doaj +1 more source
DISC: Deep Image Saliency Computing via Progressive Representation Learning
, 2015 Salient object detection increasingly receives attention as an important component or step in several pattern recognition and image processing tasks.
Chen, Tianshui +4 more
core +1 more source
On the Affective Salience of Doctrines [PDF]
Modern Theology, 2015 In his classic study, The Nature of Doctrine, George Lindbeck articulates an account of Christian doctrinal statements as fundamentally ‘regulative’ in nature. In his view, the best way to understand ‘church doctrines’ is in terms of ‘their use, not as expressive symbols or truth claims, but as communally authoritative rules of discourse, attitude, and
openaire +3 more sources
Top-Down Saliency Detection Driven by Visual Classification
, 2018 This paper presents an approach for top-down saliency detection guided by visual classification tasks. We first learn how to compute visual saliency when a specific visual task has to be accomplished, as opposed to most state-of-the-art methods which ...
Concetto Spampinato +5 more
core +1 more source
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation [PDF]
, 2017 Co-saliency detection aims at extracting the common salient regions from an image group containing two or more relevant images. It is a newly emerging topic in computer vision community. Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes ...
arxiv +1 more source
An Iterative Co-Saliency Framework for RGBD Images
, 2017 As a newly emerging and significant topic in computer vision community, co-saliency detection aims at discovering the common salient objects in multiple related images.
Cao, Xiaochun +6 more
core +1 more source
Gaze Mapping for Immersive Virtual Environments Based on Image Retrieval
Frontiers in Virtual Reality, 2022 In this paper, we introduce a novel gaze mapping approach for free viewing conditions in dynamic immersive virtual environments (VEs), which projects recorded eye fixation data of users, who viewed the VE from different perspectives, to the current view.
Tim Rolff +3 more
doaj +1 more source
How is Gaze Influenced by Image Transformations? Dataset and Model
, 2019 Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time consuming and expensive. Most of current studies on human attention and saliency modeling have used high quality stereotype stimuli.
Borji, Ali +5 more
core +1 more source
FEBS Letters, EarlyView.The enzyme 5‐lipoxygenase (5‐LOX) catalyzes the first step in the biosynthesis of leukotrienes (LTs) involved in inflammatory pathophysiology. After cellular stimulation, 5‐LOX translocates to the nucleus, interacting with the 5‐LOX‐activating protein (FLAP) to form LTA4 from arachidonic acid (AA).
Erik Romp +5 more
wiley +1 more source