Review of visual saliency prediction: Development process from neurobiological basis to deep models
F Yan, C Chen, P Xiao, S Qi, Z Wang, R Xiao - 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 …
Saliency prediction based on multi-channel models of visual processing
Q Li - Machine Vision and Applications, 2023 - Springer
Visual attention is one of the most significant characteristics for selecting and understanding
the outside redundancy world. The human vision system cannot process all information …
the outside redundancy world. The human vision system cannot process all information …
What do deep saliency models learn about visual attention?
In recent years, deep saliency models have made significant progress in predicting human
visual attention. However, the mechanisms behind their success remain largely unexplained …
visual attention. However, the mechanisms behind their success remain largely unexplained …
Saliency prediction in the deep learning era: Successes and limitations
A Borji - IEEE transactions on pattern analysis and machine …, 2019 - ieeexplore.ieee.org
Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …
advances in deep learning and large scale annotated data. Despite enormous effort and …
Visual saliency prediction using multi-scale attention gated network
Predicting human visual attention cannot only increase our understanding of the underlying
biological mechanisms, but also bring new insights for other computer vision-related tasks …
biological mechanisms, but also bring new insights for other computer vision-related tasks …
Attention-aware concentrated network for saliency prediction
This paper presents a biologically-inspired saliency prediction method to imitate two main
characteristics of the human perception process: focalization and orienting. The proposed …
characteristics of the human perception process: focalization and orienting. The proposed …
Saliency prediction in the deep learning era: Successes, limitations, and future challenges
A Borji - arXiv preprint arXiv:1810.03716, 2018 - arxiv.org
Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …
advances in deep learning and large scale annotated data. Despite enormous effort and …
[HTML][HTML] TranSalNet: Towards perceptually relevant visual saliency prediction
Convolutional neural networks (CNNs) have significantly advanced computational
modelling for saliency prediction. However, accurately simulating the mechanisms of visual …
modelling for saliency prediction. However, accurately simulating the mechanisms of visual …
End-to-end convolutional network for saliency prediction
J Pan, X Giró-i-Nieto - arXiv preprint arXiv:1507.01422, 2015 - arxiv.org
The prediction of saliency areas in images has been traditionally addressed with hand
crafted features based on neuroscience principles. This paper however addresses the …
crafted features based on neuroscience principles. This paper however addresses the …
SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information
This paper proposes a deep convolutional neural network with a concise and effective
encoder-decoder architecture for saliency prediction. Local and global contextual features …
encoder-decoder architecture for saliency prediction. Local and global contextual features …