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@@ -8,8 +8,16 @@ The dataset used to train and evaluate [ReT](https://www.arxiv.org/abs/2503.0198
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  ## Sources
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- - **Repository:** https://github.com/aimagelab/ReT
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- - **Paper:** [Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval](https://www.arxiv.org/abs/2503.01980) (CVPR 2025)
 
 
 
 
 
 
 
 
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  ## Download images
 
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  ## Sources
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+ <!-- - **Repository:** https://github.com/aimagelab/ReT
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+ - **Paper:** [Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval](https://www.arxiv.org/abs/2503.01980) (CVPR 2025) -->
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+ [![ReT](https://img.shields.io/badge/Paper-arxiv.2503.15621-B31B1B.svg)](https://www.arxiv.org/abs/2503.01980)
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+ [![Code](https://img.shields.io/badge/Code-181717?logo=github&logoColor=white)](https://github.com/aimagelab/ReT)
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+ **! Update 12/09/2025**<br>
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+ We have just released ReT-2: Recurrence Meets Transformers for Universal Multimodal Retrieval<br>
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+ [![ReT-2](https://img.shields.io/badge/Paper-arxiv.2509.08897-B31B1B.svg)](https://arxiv.org/abs/2509.08897)
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+ [![Code](https://img.shields.io/badge/Code-181717?logo=github&logoColor=white)](https://github.com/aimagelab/ReT-2)
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  ## Download images