Buscar
Mostrando ítems 1-10 de 76
Semi-supervised Segmentation Based on Error-Correcting Supervision
(2020-01-01)
Pixel-level classification is an essential part of computer vision. For learning from labeled data, many powerful deep learning models have been developed recently. In this work, we augment such supervised segmentation ...
Interactive image segmentation of non-contiguous classes using particle competition and cooperation
(2015-01-01)
Semi-supervised learning methods employ both labeled and unlabeled data in their training process. Therefore, they are commonly applied to interactive image processing tasks, where a human specialist may label a few pixels ...
Complex Network Construction for Interactive Image Segmentation Using Particle Competition and Cooperation: A New Approach
(2020-01-01)
In the interactive image segmentation task, the Particle Competition and Cooperation (PCC) model is fed with a complex network, which is built from the input image. In the network construction phase, a weight vector is ...
Desenvolvimento de um mecanismo semi-supervisionado para segmentação de tumores em imagens de mamografia digital
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2016)
Interactive Image Segmentation using Particle Competition and Cooperation
(Ieee, 2015-01-01)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...
Interactive image segmentation using particle competition and cooperation
(2015-09-28)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Segmentação interativa de imagens usando redes complexas e competição e cooperação entre partículas
(Universidade Estadual Paulista (Unesp), 2019-01-30)
A segmentação de imagens é o processo de identificar e separar estruturas e objetos relevantes em uma imagem, não é uma tarefa trivial para um algoritmo computacional devido à complexidade dos elementos envolvidos no ...