mae

Introduction

Official Repo

Code Snippet

MAE (CVPR'2022)

@inproceedings{he2022masked,
    title={Masked autoencoders are scalable vision learners},
    author={He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Doll{\'a}r, Piotr and Girshick, Ross},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    pages={16000--16009},
    year={2022}
}

Results

ADE20k

Segmentor	Pretrain	Backbone	Crop Size	Schedule	Train/Eval Set	mIoU	Download
UperNet	ImageNet-1k-224x224	MAE-Vit-B	512x512	LR/POLICY/BS/EPOCH: 1e-4/poly/16/130	train/val	48.20%	cfg | model | log

More

You can also download the model weights from following sources:

• BaiduNetdisk: https://pan.baidu.com/s/1gD-NJJWOtaHCtB0qHE79rA with access code s757