Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach

Unsupervised image segmentation is a fundamental problem that aims at clustering pixels into regions satisfying homogeneity (w.r.t color or texture), with no pixel annotations specified as ground truth. This paper proposes a novel unsupervised graph based segmentation framework based on a novel affinity matrix. The main hypothesis is that a convolutional neural network (CNN) trained to generate th...