update-arxiv

README.md

@@ -1,17 +1,17 @@
 <h1 align="center">Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation</h1> 
 
 <p align="center">
-<a href="https://arxiv.org"><img src="https://img.shields.io/badge/arXiv-Paper-<color>"></a>
+<a href="https://arxiv.org/abs/2401.17904"><img src="https://img.shields.io/badge/arXiv-Paper-<color>"></a>
 </p>
 
-This is the official repository of the paper [Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation](https://arxiv.org).
+This is the official repository of the paper [Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation](https://arxiv.org/abs/2401.17904).
 
 ## :sparkles: Highlight
 
 ![overview](.asset/overview.png)
 
 - **Hierarchical Text Segmentation.** Hi-SAM unifies text segmentation across stroke, word, text-line, and paragraph levels. Hi-SAM also achieves layout analysis as a by-product.
-- **High-Quality Text Stroke Segmentation.** High-quality text stroke segmentation by introducing mask feature of 1024×1024 resolution with minimal modification in SAM's original mask decoder. 
+- **High-Quality Text Stroke Segmentation & Stroke Labeling Assistant.** High-quality text stroke segmentation by introducing mask feature of 1024×1024 resolution with minimal modification in SAM's original mask decoder. 
 - **Automatic and Interactive.** Hi-SAM supports both automatic mask generation and interactive promptable mode. Given a single-point prompt, Hi-SAM provides word, text-line, and paragraph masks.
 
 ## :bulb: Overview of Hi-SAM
@@ -33,7 +33,7 @@ This is the official repository of the paper [Hi-SAM: Marrying Segment Anything
 @article{ye2024hi-sam,
   title={Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation},
   author={Ye, Maoyuan and Zhang, Jing and Liu, Juhua and Liu, Chenyu and Yin, Baocai and Liu, Cong and Du, Bo and Tao, Dacheng},
-  journal={arXiv preprint},
+  journal={arXiv preprint arXiv:2401.17904},
   year={2024}
 }
 ```