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@@ -13,7 +13,7 @@ A retrained GLoRIA model for benchmarking medical vision-language pre-training m
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  ## Model Details
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  - **Model Type**: GLoRIA
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  - **Architecture**: ResNet-50 image encoder and BERT text encoder
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- - **Original Papers**: [GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition](https://arxiv.org/abs/2010.00747)
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  - **Benchmark Paper**: [BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays](https://arxiv.org/abs/2410.21969)
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  - **Benchmark Framework**: https://github.com/yangzhou12/BenchX
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  ## Model Details
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  - **Model Type**: GLoRIA
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  - **Architecture**: ResNet-50 image encoder and BERT text encoder
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+ - **Original Papers**: [GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition](https://openaccess.thecvf.com/content/ICCV2021/papers/Huang_GLoRIA_A_Multimodal_Global-Local_Representation_Learning_Framework_for_Label-Efficient_Medical_ICCV_2021_paper.pdf)
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  - **Benchmark Paper**: [BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays](https://arxiv.org/abs/2410.21969)
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  - **Benchmark Framework**: https://github.com/yangzhou12/BenchX
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