Masked Autoencoders ViT-H
Facebook AI ResearchSemantic segmentationImage classificationImage generationOpen weights
Developed by Facebook AI Research in 2021, Masked Autoencoders ViT-H is a semantic segmentation model with 632000000.0 parameters with openly available weights.
About Masked Autoencoders ViT-H
This paper shows that masked autoencoders (MAE) are scalable self-supervised learners for computer vision. Our MAE approach is simple: we mask random patches of the input image and reconstruct the missing pixels. It is based on two core designs. Firs
Details
- Provider
- Facebook AI Research
- Task
- Semantic segmentation,Image classification,Image generation
- Parameters
- 632000000.0
- Released
- 2021-11-11
- Open weights
- Yes