Convolutional Neural Networks from Image Markers

no code implementations • 15 Dec 2020 • Barbara C. Benato, Italos E. de Souza, Felipe L. Galvão, Alexandre X. Falcão

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 few images (e. g., 1-3) per class, and demonstrated for coconut-tree image classification.

Classification General Classification +1