390 citations · 953 across the 27 of their papers we have counts for
9 papers · 1 filter
Convolutional Neural Networks from Image Markers
Barbara C. Benato, Italos E. de Souza, Felipe L. Galvão +1
A technique named Feature Learning from Image Markers (FLIM) was recently proposed to estimate convolutional filters, with no backpropagation, from strokes drawn by a user on very…
Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient
John E. Vargas-Muñoz, Devis Tuia, Alexandre X. Falcão
Locating populations in rural areas of developing countries has attracted the attention of humanitarian mapping projects since it is important to plan actions that affect vulnerabl…
Learning CNN filters from user-drawn image markers for coconut-tree image classification
Italos Estilon de Souza, Alexandre Xavier Falcão
Identifying species of trees in aerial images is essential for land-use classification, plantation monitoring, and impact assessment of natural disasters. The manual identification…
Semi-supervised deep learning based on label propagation in a 2D embedded space
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
While convolutional neural networks need large labeled sets for training images, expert human supervision of such datasets can be very laborious. Proposed solutions propagate label…
Semi-Automatic Data Annotation guided by Feature Space Projection
Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea +1
Data annotation using visual inspection (supervision) of each training sample can be laborious. Interactive solutions alleviate this by helping experts propagate labels from a few…
ITSELF: Iterative Saliency Estimation fLexible Framework
Leonardo de Melo Joao, Felipe de Castro Belem, Alexandre Xavier Falcao
Saliency object detection estimates the objects that most stand out in an image. The available unsupervised saliency estimators rely on a pre-determined set of assumptions of how h…