{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ruclip-new-models-and-experiments-a-technical","title":"RuCLIP -- new models and experiments: a technical report","arxiv_id":"2202.10784","date":"2022-02-22","proceeding":null,"authors":["Alex Shonenkov","Andrey Kuznetsov","Denis Dimitrov","Tatyana Shavrina","Daniil Chesakov","Anastasia Maltseva","Alena Fenogenova","Igor Pavlov","Anton Emelyanov","Sergey Markov","Daria Bakshandaeva","Vera Shybaeva","Andrey Chertok"],"abstract":"In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-MT) on 16 datasets from different domains. Our best implementations outperform CLIP + OPUS-MT solution on most of the datasets in few-show and zero-shot tasks. In the report we briefly describe the implementations and concentrate on the conducted experiments. Inference execution time comparison is also presented in the report.","url_abs":"https://arxiv.org/abs/2202.10784v1","url_pdf":"https://arxiv.org/pdf/2202.10784v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ruclip-new-models-and-experiments-a-technical","repo_url":"https://github.com/OML-Team/open-metric-learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"translation","task_name":"Translation"}],"methods":[{"method_slug":"clip","method_name":"CLIP"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}