Simone Zini

Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training

Several recent works on self-supervised learning are trained by mapping different augmentations of the same image to the same feature representation. The data augmentations used are of crucial importance to the quality of learned feature representations. In this paper, we analyze how the color jitte…