Learning saliency-based visual attention: A review
Humans and other primates shift their gaze to allocate processing resources to a subset of
the visual input. Understanding and emulating the way that human observers free-view a …
the visual input. Understanding and emulating the way that human observers free-view a …
Revisiting video saliency prediction in the deep learning era
The secrets of salient object segmentation
In this paper we provide an extensive evaluation of fixation prediction and salient object
segmentation algorithms as well as statistics of major datasets. Our analysis identifies …
segmentation algorithms as well as statistics of major datasets. Our analysis identifies …
Learning unsupervised video object segmentation through visual attention
This paper conducts a systematic study on the role of visual attention in Unsupervised Video
Object Segmentation (UVOS) tasks. By elaborately annotating three popular video …
Object Segmentation (UVOS) tasks. By elaborately annotating three popular video …
Salient object detection: A benchmark
We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
Re-thinking co-salient object detection
In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD)
problem for images. CoSOD is an emerging and rapidly growing extension of salient object …
problem for images. CoSOD is an emerging and rapidly growing extension of salient object …
Revisiting video saliency: A large-scale benchmark and a new model
In this work, we contribute to video saliency research in two ways. First, we introduce a new
benchmark for predicting human eye movements during dynamic scene free-viewing, which …
benchmark for predicting human eye movements during dynamic scene free-viewing, which …
State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Review of visual saliency prediction: Development process from neurobiological basis to deep models
F Yan, C Chen, P **ao, S Qi, Z Wang, R **ao - Applied Sciences, 2021 - mdpi.com
The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …