---
license: apache-2.0
language:
- en
---

<br>

# Model Card for OpenSSL-SimCore

This repo contains some of the pretrained models from our paper, *Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning*.
We share the SimCore-pretrained models in the Open-set Self-Supervised Learning (OpenSSL) task, according to each fine-grained dataset.
SimCore significantly improves representation learning performance in various downstream tasks, by leveraging a coreset sampled from the unlabeled open-set.


## Model Details


### Model Sources

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/sungnyun/openssl-simcore
- **Paper:** [**Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning**](https://arxiv.org/abs/2303.11101), S. Kim et al., CVPR 2023

### Model Type

SimCore with a stopping criterion (Table 2 in the main paper).
- Backbone: ResNet50
- SSL algorithm: SimCLR
- Open-set: ImageNet-1k
- Target dataset: aircraft, cars, pets, cub, dogs, flowers, stanford40, mit67, dtd, celeba, and food11


**For use:** Please check our github repo for the instructions.


**License:** Apache 2.0 License

**Where to send questions or comments about the model:** https://github.com/sungnyun/openssl-simcore/issues