{
 "id": "aimagelab/ReT-M2KR",
 "owner": "aimagelab",
 "name": "ReT-M2KR",
 "downloads": 2069,
 "likes": 2,
 "last_modified": "2026-02-17T14:09:06.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{caffagni2025recurrence,\n  title={{Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval}},\n  author={Caffagni, Davide and Sarto, Sara and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "115f7ecb61c9b7a927ed1ef2a3a162aee9963fd5",
 "stated_evidence": "https://huggingface.co/datasets/aimagelab/ReT-M2KR/blob/115f7ecb61c9b7a927ed1ef2a3a162aee9963fd5/README.md",
 "file_evidence": "https://huggingface.co/datasets/aimagelab/ReT-M2KR/tree/115f7ecb61c9b7a927ed1ef2a3a162aee9963fd5",
 "card_nc": false
}