1 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Opening Deep Neural Networks with Generative Models
Marcos Vendramini, Hugo Oliveira, Alexei Machado +1
Image classification methods are usually trained to perform predictions taking into account a predefined group of known classes. Real-world problems, however, may not allow for a f…