1 citations · 2 across the 3 of their papers we have counts for
8 papers
Conditional Reconstruction for Open-set Semantic Segmentation
Ian Nunes, Matheus B. Pereira, Hugo Oliveira +2
Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks.We propose a novel method called CoReSeg thattackles the is…
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…
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…
Fully Convolutional Open Set Segmentation
Hugo Oliveira, Caio Silva, Gabriel L. S. Machado +2
In semantic segmentation knowing about all existing classes is essential to yield effective results with the majority of existing approaches. However, these methods trained in a Cl…