2 papers
cs.CV2020
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…
cs.CV2018
An Iterative Spanning Forest Framework for Superpixel Segmentation
John E. Vargas-Muñoz, Ananda S. Chowdhury, Eduardo B. Alexandre +3
Superpixel segmentation has become an important research problem in image processing. In this paper, we propose an Iterative Spanning Forest (ISF) framework, based on sequences of…