82 citations · 148 across the 3 of their papers we have counts for
3 papers
Multispectral Vineyard Segmentation: A Deep Learning approach
T. Barros, P. Conde, G. Gonçalves +4
Digital agriculture has evolved significantly over the last few years due to the technological developments in automation and computational intelligence applied to the agricultural…
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro +5
In image segmentation, there is often more than one plausible solution for a given input. In medical imaging, for example, experts will often disagree about the exact location of o…
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation
Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira
The Conditional Random Field as a Recurrent Neural Network layer is a recently proposed algorithm meant to be placed on top of an existing Fully-Convolutional Neural Network to imp…