Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …

Human visual system can selectively attend to parts of a scene for quick perception, a
biological mechanism known as Human attention. Inspired by this, recent deep learning …

Inspired by the human cognitive system, attention is a mechanism that imitates the human
cognitive awareness about specific information, amplifying critical details to focus more on …

The saliency ranking task is recently proposed to study the visual behavior that humans
would typically shift their attention over different objects of a scene based on their degrees of …

In this paper, we aim to predict human eye fixation with view-free scenes based on an end-to-
end deep learning architecture. Although convolutional neural networks (CNNs) have made …

Here we present DeepGaze II, a model that predicts where people look in images. The
model uses the features from the VGG-19 deep neural network trained to identify objects in …

A long time ago in the machine learning literature, the idea of incorporating a mechanism
inspired by the human visual system into neural networks was introduced. This idea is …

Representing features at multiple scales is of great importance for numerous vision tasks.
Recent advances in backbone convolutional neural networks (CNNs) continually …

Attention mechanisms have become a popular component in deep neural networks, yet
there has been little examination of how different influencing factors and methods for …

In many computer vision tasks, the relevant information to solve the problem at hand is
mixed to irrelevant, distracting information. This has motivated researchers to design …