WACV VisionDocsFeb 2026
Improving End-to-End Models for Form Understanding with Synthetic Ground Truth Pairs
We present methods for improving end-to-end document understanding models...
We develop techniques for generating high-quality synthetic training data, particularly focused on document and form understanding. Our methods improve model robustness and reduce reliance on expensive manual annotation.
Join our community of researchers working on synthetic data. All contributions are welcome, from code to documentation to research ideas.
Get Involved