A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
- L. Itti, C. Koch, E. Niebur
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 November 1998
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented, which breaks down the complex problem of scene understanding by rapidly selecting conspicuous locations to be analyzed in detail.
Computational modelling of visual attention
Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment, providing a framework for a computational and neurobiological understanding of visual attention.
Salient Object Detection: A Benchmark
- A. Borji, Dicky N. Sihite, L. Itti
- Computer ScienceIEEE Transactions on Image Processing
- 7 October 2012
It is found that the models designed specifically for salient object detection generally work better than models in closely related areas, which provides a precise definition and suggests an appropriate treatment of this problem that distinguishes it from other problems.
State-of-the-Art in Visual Attention Modeling
A taxonomy of nearly 65 models of attention provides a critical comparison of approaches, their capabilities, and shortcomings, and addresses several challenging issues with models, including biological plausibility of the computations, correlation with eye movement datasets, bottom-up and top-down dissociation, and constructing meaningful performance measures.
Born Again Neural Networks
- Tommaso Furlanello, Zachary Chase Lipton, M. Tschannen, L. Itti, Anima Anandkumar
- Computer ScienceInternational Conference on Machine Learning
- 12 May 2018
This work studies KD from a new perspective: rather than compressing models, students are trained parameterized identically to their teachers, and shows significant advantages from transferring knowledge between DenseNets and ResNets in either direction.
Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
- A. Borji, Dicky N. Sihite, L. Itti
- Computer ScienceIEEE Transactions on Image Processing
- 2013
This study allows one to assess the state-of-the-art visual saliency modeling, helps to organizing this rapidly growing field, and sets a unified comparison framework for gauging future efforts, similar to the PASCAL VOC challenge in the object recognition and detection domains.
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
- Christian Siagian, L. Itti
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 February 2007
A simple context-based scene recognition algorithm for mobile robotics applications that presents the advantage of being biologically plausible and of having low-computational complexity, sharing its low-level features with a model for visual attention that may operate concurrently on a robot.
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