SMILER: Saliency Model Implementation Library for Experimental Research
Abstract
The Saliency Model Implementation Library for Experimental Research (SMILER) is a new software package which provides an open, standardized, and extensible framework for maintaining and executing computational saliency models. This work drastically reduces the human effort required to apply saliency algorithms to new tasks and datasets, while also ensuring consistency and procedural correctness for results and conclusions produced by different parties. At its launch SMILER already includes twenty three saliency models (fourteen models based in MATLAB and nine supported through containerization), and the open design of SMILER encourages this number to grow with future contributions from the community. The project may be downloaded and contributed to through its GitHub page: https://github.com/tsotsoslab/smiler
Cite
@article{arxiv.1812.08848,
title = {SMILER: Saliency Model Implementation Library for Experimental Research},
author = {Calden Wloka and Toni Kunić and Iuliia Kotseruba and Ramin Fahimi and Nicholas Frosst and Neil D. B. Bruce and John K. Tsotsos},
journal= {arXiv preprint arXiv:1812.08848},
year = {2018}
}