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license: apache-2.0
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license: apache-2.0
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language:
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- en
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<br>
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# Model Card for OpenSSL-SimCore
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This repo contains some of the pretrained models from our paper, *Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning*.
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We share the SimCore-pretrained models in the Open-set Self-Supervised Learning (OpenSSL) task, according to each fine-grained dataset.
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SimCore significantly improves representation learning performance in various downstream tasks, by leveraging a coreset sampled from the unlabeled open-set.
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## Model Details
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/sungnyun/openssl-simcore
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- **Paper:** [**Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning**](https://arxiv.org/abs/2303.11101), S. Kim et al., CVPR 2023
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### Model Type
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SimCore with a stopping criterion (Table 2 in the main paper).
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- Backbone: ResNet50
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- SSL algorithm: SimCLR
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- Open-set: ImageNet-1k
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- Target dataset: aircraft, cars, ...
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**For use:** Please check our github repo for the instructions.
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**License:** Apache 2.0 License
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**Where to send questions or comments about the model:** https://github.com/sungnyun/openssl-simcore/issues
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