Search Results for author: Eduardo Aguilar

Found 4 papers, 1 papers with code

Continual Evidential Deep Learning for Out-of-Distribution Detection

1 code implementation6 Sep 2023 Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost Van de Weijer

Uncertainty-based deep learning models have attracted a great deal of interest for their ability to provide accurate and reliable predictions.

Continual Learning Out-of-Distribution Detection

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

no code implementations14 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.

Exploring Food Detection using CNNs

no code implementations14 Sep 2017 Eduardo Aguilar, Marc Bolaños, Petia Radeva

One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption.

Food Recognition

Food Recognition using Fusion of Classifiers based on CNNs

no code implementations14 Sep 2017 Eduardo Aguilar, Marc Bolaños, Petia Radeva

With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years.

Food Recognition General Classification

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