| # ruImageCaptioning |
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| <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg"></a> |
| Inference Notebook: <a href="https://colab.research.google.com/drive/1tsVMWUE6_AKXiHyinCSOSRPGhbjVEyRM?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=20></a> |
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| Русская версия CLIP prefix caption, обученная на ruGPTSMALL + CLIP(OPENAI), можно использовать для VQA, image captioning и прочее. Модель работает <1c + ее можно эффективно квантануть/перенести в ONNX. Обучалось в течении 3х дней на 2*1080ti |
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| Trained and validated on ruCOCO |
| BLEU: 37.3 |
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| chrF: 32.4 |
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| ROUGE-1-F: 33.0 |
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| ROUGE-2-F: 14.1 |
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| ROUGE-L-F: 30.3 |
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| THIS WORK IS BASED ON https://github.com/rmokady/CLIP_prefix_caption (english version) |
| ``` |
| @article{mokady2021clipcap, |
| title={ClipCap: CLIP Prefix for Image Captioning}, |
| author={Mokady, Ron and Hertz, Amir and Bermano, Amit H}, |
| journal={arXiv preprint arXiv:2111.09734}, |
| year={2021} |
| } |
| ``` |
| ``` |
| @article{AlexWortega, |
| title={ruImage captioning}, |
| author={Aleksandr Nikolic, Asta gpu server }, |
| } |
| ``` |
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| ## Acknowledgments |
| This repository is heavily based on [CLIP](https://github.com/openai/CLIP) and [Hugging-faces](https://github.com/huggingface/transformers) repositories. |
| For training we used the data of [COCO dataset](https://cocodataset.org/#home) and [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) translated by ALEX WORTEGA [ruCOCO](https://github.com/AlexWortega/ru_COCO) |
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