Guiyang Chan

Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation

Scribble-supervised semantic segmentation presents a cost-effective training method that utilizes annotations generated through scribbling. It is valued in attaining high performance while minimizing annotation costs, which has made it highly regarded among researchers. Scribble supervision propagat…