Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
For the last decades, computer-based visual attention models aiming at automatically
predicting human gaze on images or videos have exponentially increased. Even if several …
predicting human gaze on images or videos have exponentially increased. Even if several …
Computational versus psychophysical bottom-up image saliency: A comparative evaluation study
A Toet - IEEE transactions on pattern analysis and machine …, 2011 - ieeexplore.ieee.org
The predictions of 13 computational bottom-up saliency models and a newly introduced
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …
Review of camouflage assessment techniques
A Toet, MA Hogervorst - Target and background signatures VI, 2020 - spiedigitallibrary.org
In military operations signature reduction techniques such as camouflage nets, low-emissive
paints, and camouflage patterns are typically deployed to optimize the survivability of high …
paints, and camouflage patterns are typically deployed to optimize the survivability of high …
RETRACTED ARTICLE: From the human visual system to the computational models of visual attention: a survey
S Filipe, LA Alexandre - Artificial Intelligence Review, 2015 - Springer
\(\bullet\) In Sect. 3.1 (Biological plausible methods) the following paragraphs or sentences
largely derive from the Borji and Itti article:“Rosenholtz (1999), Rosenholtz et al.(2004) …
largely derive from the Borji and Itti article:“Rosenholtz (1999), Rosenholtz et al.(2004) …
Selection of a best metric and evaluation of bottom-up visual saliency models
M Emami, LL Hoberock - Image and Vision Computing, 2013 - Elsevier
There are many “machine vision” models of the visual saliency mechanism, which controls
the process of selecting and allocating attention to the most “prominent” locations in the …
the process of selecting and allocating attention to the most “prominent” locations in the …
Unsupervised foveal vision neural architecture with top-down attention
Deep learning architectures are an extremely powerful tool for recognizing and classifying
images. However, they require supervised learning and normally work on vectors of the size …
images. However, they require supervised learning and normally work on vectors of the size …
Unsupervised foveal vision neural networks with top-down attention
Deep learning architectures are an extremely powerful tool for recognizing and classifying
images. However, they require supervised learning and normally work on vectors the size of …
images. However, they require supervised learning and normally work on vectors the size of …
Emotional valence recognition, analysis of salience and eye movements
This paper studies the performance of recorded eye movements and computational visual
attention models (ie saliency models) in the recognition of emotional valence of an image. In …
attention models (ie saliency models) in the recognition of emotional valence of an image. In …
[图书][B] An improved saliency mechanism for computer vision
M Emami - 2013 - search.proquest.com
The objective of this project is to find an efficient biologically plausible model for the bottom-
up saliency mechanism of the human vision system (HVS) and employ it in computer vision …
up saliency mechanism of the human vision system (HVS) and employ it in computer vision …
Finding Objects in Complex Scenes with Top-down and Bottom-up Information
RM Burt - 2017 - search.proquest.com
Humans have the ability to view a scene and form an overall representation in a remarkably
short length of time. However, due to the complexity of visual search, it is reasonable to …
short length of time. However, due to the complexity of visual search, it is reasonable to …