CrossMAE: Rethinking Patch Dependence for Masked Autoencoders
by Letian Fu*, Long Lian*, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala†, Trevor Darrell†, Alexei A. Efros†, Ken Goldberg† at UC Berkeley and UCSF
[Paper] | [Project Page] | [Citation]
This repo has the models for CrossMAE: Rethinking Patch Dependence for Masked Autoencoders.
Please take a look at the GitHub repo to see instructions on pretraining, fine-tuning, and evaluation with these models.
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model's library.