Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images

Nanqing Dong, Matteo Maggioni, Yongxin Yang +3

This paper is concerned with contrastive learning (CL) for low-level image restoration and enhancement tasks. We propose a new label-efficient learning paradigm based on residuals,…