Tag: multitask learning

AI Machine Learning & Data Science Research

EPFL’s Multi-modal Multi-task Masked Autoencoder: A Simple, Flexible and Effective ViT Pretraining Strategy Applicable to Any RGB Dataset

The Swiss Federal Institute of Technology Lausanne (EPFL) presents Multi-modal Multi-task Masked Autoencoders (MultiMAE), a simple and effective pretraining strategy that enables masked autoencoding to include multiple modalities and tasks and is applicable to any RGB dataset.