Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques

1 code implementation • 28 Dec 2020 • David Morales, Estefania Talavera, Beatriz Remeseiro

Unlike the attention mechanisms that focus on the relevant parts of images, we aim to improve the robustness of the model by making it pay attention to other regions as well.

General Classification Image Classification

Towards explainable personalized recommendations by learning from users’ photos

1 code implementation • Information Sciences 2020 • Jorge Díez, Pablo Pérez-Núñez, Oscar Luaces, Beatriz Remeseiro, Antonio Bahamonde

We assume that users take these photos to reinforce or justify their opinions about the items.

Image-based Recommendation Explainability Recommendation Systems

Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants

no code implementations • 14 Nov 2017 • Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva

The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis.

Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns

1 code implementation • 25 Jul 2017 • Pedro Herruzo, Laura Portell, Alberto Soto, Beatriz Remeseiro

First-person stories can be analyzed by means of egocentric pictures acquired throughout the whole active day with wearable cameras.