16 citations · 16 across the 5 of their papers we have counts for
3 papers · 1 filter
Time-based Self-supervised Learning for Wireless Capsule Endoscopy
Guillem Pascual, Pablo Laiz, Albert García +3
State-of-the-art machine learning models, and especially deep learning ones, are significantly data-hungry; they require vast amounts of manually labeled samples to function correc…
Uncertainty Gated Network for Land Cover Segmentation
Guillem Pascual, Santi Seguí, Jordi Vitrià
The production of thematic maps depicting land cover is one of the most common applications of remote sensing. To this end, several semantic segmentation approaches, based on deep…
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
Santi Seguí, Michal Drozdzal, Guillem Pascual +4
The interpretation and analysis of the wireless capsule endoscopy recording is a complex task which requires sophisticated computer aided decision (CAD) systems in order to help ph…