Carlos Hinojosa*

ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders

"Masked AutoEncoders (MAE) have emerged as a robust self-supervised framework, offering remarkable performance across a wide range of downstream tasks. To increase the difficulty of the pretext task and learn richer visual representations, existing works have focused on replacing standard random mas…