Self-supervised learning stops at shared content: record each instance's augmentation strength and the coordinates line up
Recording one augmentation strength per instance and letting content variances respond to it lets self-supervised learning separate content coordinates that previously stayed mixed, raising dSprites factor alignment from 0.837 to 0.932.