Toni Kunic presents “SMILER: Consistent and Usable Saliency Model Implementations” at MODVIS 2019

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By tech | July 18, 2019 | Category Presentations

Toni spoke at MODVIS introducing the technical aspects of the Saliency Model Implementation Library for Experimental Research (SMILER) project and provided an overview of how the software library can facilitate vision research.

Venue: MODVIS 2019

Paper: SMILER: Consistent and Usable Saliency Model Implementations

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

Click here, for more information about SMILER.