UC Berkeley and UCSF Researchers Propose Cross-Attention Masked Autoencoders (CrossMAE): A Leap in Efficient Visual Data Processing

UC Berkeley and UCSF Researchers Propose Cross-Attention Masked Autoencoders (CrossMAE): A Leap in Efficient Visual Data Processing