7 citations · 9 across the 5 of their papers we have counts for
9 papers · 1 filter
IQUAFLOW: A new framework to measure image quality
P. Gallés, K. Takats, M. Hernández-Cabronero +10
IQUAFLOW is a new image quality framework that provides a set of tools to assess image quality. The user can add custom metrics that can be easily integrated. Furthermore, iquaflow…
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
David Berga, Pau Gallés, Katalin Takáts +5
Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Obs…
Saliency for free: Saliency prediction as a side-effect of object recognition
Carola Figueroa-Flores, David Berga, Joost van der Weijer +1
Saliency is the perceptual capacity of our visual system to focus our attention (i.e. gaze) on relevant objects. Neural networks for saliency estimation require ground truth salien…
Disentanglement of Color and Shape Representations for Continual Learning
David Berga, Marc Masana, Joost Van de Weijer
We hypothesize that disentangled feature representations suffer less from catastrophic forgetting. As a case study we perform explicit disentanglement of color and shape, by adjust…
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Carola Figueroa-Flores, Bogdan Raducanu, David Berga +1
Most of the saliency methods are evaluated on their ability to generate saliency maps, and not on their functionality in a complete vision pipeline, like for instance, image classi…
MineGAN: effective knowledge transfer from GANs to target domains with few images
Yaxing Wang, Abel Gonzalez-Garcia, David Berga +3
One of the attractive characteristics of deep neural networks is their ability to transfer knowledge obtained in one domain to other related domains. As a result, high-quality netw…