Yin King Chu

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

Yin King Chu, Lingfeng Li, Sung Ha Kang, Jianping Zhang, Xue-Cheng Tai

We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth perimeter regularizer, yielding a convex, smooth energy functional that can be used as a training loss in…Read more