Create README.md

README.md

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+---
+language:
+- en
+pipeline_tag: image-text-to-text
+---
+
+
+# The model checkpoints used in Fine-grained Image Captioning with CLIP Reward (Findings of NAACL 2022)
+
+* Authors: [Jaemin Cho](https://j-min.io), [David Seunghyun Yoon](https://david-yoon.github.io/), [Ajinkya Kale](https://www.linkedin.com/in/kaleajinkya/), [Franck Dernoncourt](https://research.adobe.com/person/franck-dernoncourt), [Trung Bui](https://sites.google.com/site/trungbuistanford/), [Mohit Bansal](https://www.cs.unc.edu/~mbansal/)
+* Paper: https://arxiv.org/abs/2205.13115
+* Code: https://github.com/j-min/CLIP-Caption-Reward
+* Inference Colab Demo: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/j-min/CLIP-Caption-Reward/blob/main/Inference_example.ipynb)
+
+
+
+# Reference
+Please cite our paper if you use our models in your works:
+
+
+```bibtex
+@inproceedings{Cho2022CLIPReward,
+  title     = {Fine-grained Image Captioning with CLIP Reward},
+  author    = {Jaemin Cho and Seunghyun Yoon and Ajinkya Kale and Franck Dernoncourt and Trung Bui and Mohit Bansal},
+  booktitle = {Findings of NAACL},
+  year      = {2022}
+}