Equivariant Splitting: Self-supervised learning from incomplete data

Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy +2

Self-supervised learning for inverse problems allows to train a reconstruction network from noise and/or incomplete data alone. These methods have the potential of enabling learnin…