Alejandro Galán-Cuenca
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View article: Enhancing music score analysis with Monte Carlo dropout: a probabilistic approach to staff-region detection
Enhancing music score analysis with Monte Carlo dropout: a probabilistic approach to staff-region detection Open
Layout Analysis (LA) is a critical process for detecting and isolating different components within a scanned document, allowing for more straightforward and precise processing of each part independently. In Optical Music Recognition (OMR),…
View article: Global point cloud registration network for large transformations
Global point cloud registration network for large transformations Open
View article: MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores
MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores Open
View article: Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study
Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study Open
View article: Efficient multi-task progressive learning for semantic segmentation and disparity estimation
Efficient multi-task progressive learning for semantic segmentation and disparity estimation Open
View article: Global Point Cloud Registration Network for Large Transformations
Global Point Cloud Registration Network for Large Transformations Open
Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, and modeling objects and people for avatar creation, among m…
View article: Simultaneous, vision-based fish instance segmentation, species classification and size regression
Simultaneous, vision-based fish instance segmentation, species classification and size regression Open
Overexploitation of fisheries is a worldwide problem, which is leading to a large loss of diversity, and affects human communities indirectly through the loss of traditional jobs, cultural heritage, etc . To address this issue, governments…
View article: Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study Open
Medical image datasets are essential for training models used in computer-aided diagnosis, treatment planning, and medical research. However, some challenges are associated with these datasets, including variability in data distribution, d…
View article: DeepFish2 Dataset
DeepFish2 Dataset Open
Dataset used to train the segmentation, labelling and measuring estimation model based on machine learning methods in the project DeepFish2 deepfish.dtic.ua.es/ Images correspoding to the Spanish fish markets of Altea, Torrevieja and Morai…
View article: DeepFish2 Dataset
DeepFish2 Dataset Open
Dataset used to train the segmentation, labelling and measuring estimation model based on machine learning methods in the project DeepFish2 deepfish.dtic.ua.es/ Images correspoding to the Spanish fish markets of Altea, Torrevieja and Morai…
View article: The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation
The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation Open
Preserving maritime ecosystems is a major concern for governments and administrations. Additionally, improving fishing industry processes, as well as that of fish markets, to have a more precise evaluation of the captures, will lead to a b…