3 papers
Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions
Alejandro Galan-Cuenca, Marcelo Saval-Calvo, Antonio Javier Gallego
Few-shot learning is commonly evaluated under protocols that pre-train a model on a large auxiliary set whose classes are disjoint from the target episodes yet drawn from the same…
Global Point Cloud Registration Network for Large Transformations
Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego +2
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, a…
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo +1
Medical image datasets are essential for training models used in computer-aided diagnosis, treatment planning, and medical research. However, some challenges are associated with th…