DocMAE: Document Image Rectification via Self-supervised Representation Learning
DocMAE: Document Image Rectification via Self-supervised Representation Learning
Tremendous efforts have been made on document image rectification, but how to learn effective representation of such distorted images is still under-explored. In this paper, we present DocMAE, a novel self-supervised framework for document image rectification. Our motivation is to encode the structural cues in document images by leveraging masked …