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RuCLIP (Russian Contrastive Language–Image Pretraining) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. RuCLIP builds on a large body of work on zero-shot transfer, computer vision, natural …

The ruCLIP model was developed by researchers at SberDevices and Sber AI based on origin OpenAI paper. Model Type The model uses a ViT-B/32 Transformer architecture (initialized from OpenAI checkpoint and freezed while training) as an image encoder and uses ruGPT3Small as a text encoder. These encoders are trained to maximize the similarity of ...

2024年3月7日 · 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.

2022年2月22日 · 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 ...

training for another 15K iterations, the ruCLIP Large [vit-large-patch14-336] exclusive model was obtained. As for the ViT-Base versions of the model, they were trained by fine-tuning the English model for 140K iterations. As a result, the ruCLIP Base [vit-base-patch16-224] and ruCLIP Base [vit-base-patch32-224] models were obtained. By ...

2024年9月25日 · ruclip的一个主要应用是零样本分类，即在没有特定类别训练数据的情况下对图像进行分类。例如，你可以使用ruclip对猫和狗的图像进行分类，如上例所示。 图像和文本相似性. ruclip还可以用于计算图像和文本之间的相似性。

ruclip-vit-base-patch32-384 RuCLIP (Russian Contrastive Language–Image Pretraining) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures.RuCLIP builds on a large body of work on zero-shot transfer, computer vision, natural language processing and multimodal learning.

2025年1月8日 · RuCLIP 是一个开源项目，旨在为俄语实现 CLIP (Contrastive Language–Image Pretraining) 模型。CLIP 模型是一种多模态模型，用于获取图像和文本的相似性以及重新排列标题和图片。RuCLIP 模型基于大量关于零样本转移、计算机视觉、自然语言处理和多模态学习的工作。

2024年6月18日 · 借助ruclip，可以实现跨语言的图像搜索、分类和组织，尤其适用于俄语及其他斯拉夫语系的语言使用者。 自然语言理解和对话系统 将RuCLIP集成到聊天机器人或智能助手中，使其能理解并响应带图的会话请求，如识别图片中的对象并给出相应描述，增强人机交互 ...