40 citations · 56 across the 7 of their papers we have counts for
3 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…
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…