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 Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.