2 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Hugo Oliveira, Pedro H. T. Gama, Isabelle Bloch +1
Most uses of Meta-Learning in visual recognition are very often applied to image classification, with a relative lack of works in other tasks {such} as segmentation and detection.…
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Pedro H. T. Gama, Hugo Oliveira, José Marcato Junior +1
Semantic segmentation is a classic computer vision task with multiple applications, which includes medical and remote sensing image analysis. Despite recent advances with deep-base…
Learning to Segment Medical Images from Few-Shot Sparse Labels
Pedro H. T. Gama, Hugo Oliveira, Jefersson A. dos Santos
In this paper, we propose a novel approach for few-shot semantic segmentation with sparse labeled images. We investigate the effectiveness of our method, which is based on the Mode…
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
Gabriel Machado, Edemir Ferreira, Keiller Nogueira +3
It is undeniable that aerial/satellite images can provide useful information for a large variety of tasks. But, since these images are always looking from above, some applications…