|
|
--- |
|
|
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 |
|
|
|
|
|
|
|
|
|
