---
license: apache-2.0
tags:
- self-supervised learning
- vision
- GMML
inference: false

---

# Model description

GMML is a self-supervised learning model that learns to group masked pixels in an image. The model is trained on ImageNet-1K.


# Model Sources

- https://github.com/Sara-Ahmed/GMML
- https://arxiv.org/abs/2205.14986


# Model Card Authors 
Sara Atito, Muhammad Awais, Josef Kittler

# How to use

```python
from transformers import BertConfig, BertModel

config = BertConfig()
model = BertModel(config)

model.push_to_hub("nielsr/my-awesome-bert-model")

# reload
model = BertModel.from_pretrained("nielsr/my-awesome-bert-model")
```

# BibTeX entry and citation info
```
@inproceedings{atito2023gmml,
  title={GMML is all you need},
  author={Atito, Sara and Awais, Muhammed and Nandam, Srinivasa and Kittler, Josef},
  booktitle={2023 IEEE International Conference on Image Processing (ICIP)},
  pages={2125--2129},
  year={2023},
  organization={IEEE}
}
```