A survey of recent advances in visual feature detection
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …
processing. It is a low-level processing step which serves as the essential part for computer …
Predicting visual fixations
M Kümmerer, M Bethge - Annual Review of Vision Science, 2023 - annualreviews.org
As we navigate and behave in the world, we are constantly deciding, a few times per
second, where to look next. The outcomes of these decisions in response to visual input are …
second, where to look next. The outcomes of these decisions in response to visual input are …
Deep visual attention prediction
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 …
end deep learning architecture. Although convolutional neural networks (CNNs) have made …
Predicting human eye fixations via an lstm-based saliency attentive model
Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
Saliency in VR: How do people explore virtual environments?
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, developing new compression …
applications, such as designing virtual reality (VR) content, developing new compression …
Salgan: Visual saliency prediction with generative adversarial networks
We introduce SalGAN, a deep convolutional neural network for visual saliency prediction
trained with adversarial examples. The first stage of the network consists of a generator …
trained with adversarial examples. The first stage of the network consists of a generator …
What do different evaluation metrics tell us about saliency models?
How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …
open research question. The choice of evaluation metric depends on how saliency is …
Deepfix: A fully convolutional neural network for predicting human eye fixations
SSS Kruthiventi, K Ayush… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Understanding and predicting the human visual attention mechanism is an active area of
research in the fields of neuroscience and computer vision. In this paper, we propose …
research in the fields of neuroscience and computer vision. In this paper, we propose …
A deep multi-level network for saliency prediction
This paper presents a novel deep architecture for saliency prediction. Current state of the art
models for saliency prediction employ Fully Convolutional networks that perform a non …
models for saliency prediction employ Fully Convolutional networks that perform a non …
Left gaze bias between LHT and RHT: a recommendation strategy to mitigate human errors in left-and right-hand driving
Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation,
can either cause road accidents or reduce driving performance in daily driving tasks …
can either cause road accidents or reduce driving performance in daily driving tasks …