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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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