Update README.md

README.md

@@ -17,7 +17,7 @@ task_categories:
 ---
  We propose a large-scale underwater instance segmentation dataset, [**UIIS10K**](#datasets), which includes **10,048 images** with pixel-level annotations for 10 categories. As far as we know, this is **the largest underwater instance segmentation dataset** available and can be used as a benchmark for evaluating underwater segmentation methods. 
  
- More information about this dataset pleaser refer to "[Taming SAM for Underwater Instance Segmentation and Beyond](https://arxiv.org/abs/2505.15581)".
+ More information about this dataset pleaser refer to "[Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentation](https://arxiv.org/abs/2505.15581)".
  
 The dataset in `UIIS10K.zip` follows the COCO format and is organized as follows:
 ```
@@ -46,7 +46,7 @@ If you find our repo useful for your research, please cite us:
 }
 
 @article{UIIS10K_Dataset_2025,
-    author    = {Hua Li, Shijie Lian, Zhiyuan Li, Runmin Cong, Chongyi Li},
+    author    = {Hua Li, Shijie Lian, Zhiyuan Li, Runmin Cong, Chongyi Li, Laurence T. Yang, Weidong Zhang, Sam Kwong},
     title     = {Taming SAM for Underwater Instance Segmentation and Beyond},
     year      = {2025},
     journal   = {arXiv preprint arXiv:2505.15581},