Salience
We review the fast-growing work on salience and economic behavior. Psychological
research shows that salient stimuli attract human attention bottom up due to their high …
research shows that salient stimuli attract human attention bottom up due to their high …
Best practices in eye tracking research
This guide describes best practices in using eye tracking technology for research in a variety
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …
EGNet: Edge guidance network for salient object detection
Fully convolutional neural networks (FCNs) have shown their advantages in the salient
object detection task. However, most existing FCNs-based methods still suffer from coarse …
object detection task. However, most existing FCNs-based methods still suffer from coarse …
Multiattention network for semantic segmentation of fine-resolution remote sensing images
Semantic segmentation of remote sensing images plays an important role in a wide range of
applications, including land resource management, biosphere monitoring, and urban …
applications, including land resource management, biosphere monitoring, and urban …
Progress toward resolving the attentional capture debate
For over 25 years, researchers have debated whether physically salient stimuli capture
attention in an automatic manner, independent of the observer's goals, or whether the …
attention in an automatic manner, independent of the observer's goals, or whether the …
Event-based vision: A survey
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
Selective kernel networks
Abstract In standard Convolutional Neural Networks (CNNs), the receptive fields of artificial
neurons in each layer are designed to share the same size. It is well-known in the …
neurons in each layer are designed to share the same size. It is well-known in the …
Occlusion aware facial expression recognition using CNN with attention mechanism
Facial expression recognition in the wild is challenging due to various unconstrained
conditions. Although existing facial expression classifiers have been almost perfect on …
conditions. Although existing facial expression classifiers have been almost perfect on …
Scene segmentation with dual relation-aware attention network
In this article, we propose a Dual Relation-aware Attention Network (DRANet) to handle the
task of scene segmentation. How to efficiently exploit context is essential for pixel-level …
task of scene segmentation. How to efficiently exploit context is essential for pixel-level …
The past, present, and future of selection history
The last ten years of attention research have witnessed a revolution, replacing a theoretical
dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals …
dichotomy (top-down vs. bottom-up control) with a trichotomy (biased by current goals …