Sunnie S. Y. Kim

Information-Theoretic Segmentation by Inpainting Error Maximization

2021

We study image segmentation from an information-theoretic perspective, proposing a novel adversarial method that performs unsupervised segmentation by partitioning images into maximally independent sets. More specifically, we group image pixels into foreground and background, with …