1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…