Add task categories and link to GREx paper

README.md

@@ -1,14 +1,23 @@
-# gRefCOCO - Dataset for [CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation
+---
+task_categories:
+- image-segmentation
+- object-detection
+- image-to-text
+---
+
+# gRefCOCO - Dataset for Generalized Referring Expression Segmentation, Comprehension, and Generation (GREx)
+
 [![PyTorch](https://img.shields.io/badge/PyTorch-1.11.0-%23EE4C2C.svg?style=&logo=PyTorch&logoColor=white)](https://pytorch.org/)
 [![Python](https://img.shields.io/badge/Python-3.7%20|%203.8%20|%203.9-blue.svg?style=&logo=python&logoColor=ffdd54)](https://www.python.org/downloads/)
 [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/gres-generalized-referring-expression-1/generalized-referring-expression-segmentation)](https://paperswithcode.com/sota/generalized-referring-expression-segmentation?p=gres-generalized-referring-expression-1)
 
-**[🏠[Project page]](https://henghuiding.github.io/GRES/)**   **[📄[GRES Arxiv]](https://arxiv.org/abs/2306.00968)**   **[📄[GREC Arxiv]](https://arxiv.org/abs/2308.16182)**
+**[🏠[Project page]](https://henghuiding.github.io/GRES/)**   **[📄[Paper (GREx)]](https://huggingface.co/papers/2601.05244)**   **[📄[GRES Arxiv]](https://arxiv.org/abs/2306.00968)**   **[📄[GREC Arxiv]](https://arxiv.org/abs/2308.16182)**
+
+This repository contains information and tools for the **gRefCOCO** dataset, proposed in the paper:
+> [GREx: Generalized Referring Expression Segmentation, Comprehension, and Generation](https://huggingface.co/papers/2601.05244)  
+> Chang Liu, Henghui Ding, Xudong Jiang
 
-This repository contains information and tools for the [gRefCOCO](https://henghuiding.github.io/GRES/) dataset, proposed by the **CVPR2023 Highlight** paper:
-> [GRES: Generalized Referring Expression Segmentation](https://arxiv.org/abs/2306.00968)  
-> Chang Liu, Henghui Ding, Xudong Jiang  
-> CVPR 2023 Highlight, Acceptance Rate 2.5%
+gRefCOCO is the first large-scale GREx dataset that contains multi-target, no-target, and single-target expressions and their corresponding images with labeled targets. It is designed to be backward-compatible with classic Referring Expression (REx) tasks.
 
 <div align="center">
   <img src="https://github.com/henghuiding/ReLA/blob/main/imgs/fig1.png?raw=true" width="100%" height="100%"/>
@@ -54,9 +63,15 @@ Our project is built upon [refer](https://github.com/lichengunc/refer) and [coco
 
 
 ## BibTeX
-Please consider to cite GRES/GREC if it helps your research.
+Please consider to cite GRES/GREC/GREx if it helps your research.
 
 ```bibtex
+@article{GREx,
+  title={{GREx}: Generalized Referring Expression Segmentation, Comprehension, and Generation},
+  author={Liu, Chang and Ding, Henghui and Jiang, Xudong},
+  journal={arXiv preprint arXiv:2601.05244},
+  year={2026}
+}
 @inproceedings{GRES,
   title={{GRES}: Generalized Referring Expression Segmentation},
   author={Liu, Chang and Ding, Henghui and Jiang, Xudong},
@@ -69,22 +84,4 @@ Please consider to cite GRES/GREC if it helps your research.
   journal={arXiv preprint arXiv:2308.16182},
   year={2023}
 }
-```
-We also recommend other highly related works:
-```bibtex
-@article{VLT,
-  title={{VLT}: Vision-language transformer and query generation for referring segmentation},
-  author={Ding, Henghui and Liu, Chang and Wang, Suchen and Jiang, Xudong},
-  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
-  year={2023},
-  volume={45},
-  number={6},
-  publisher={IEEE}
-}
-@inproceedings{MeViS,
-  title={{MeViS}: A Large-scale Benchmark for Video Segmentation with Motion Expressions},
-  author={Ding, Henghui and Liu, Chang and He, Shuting and Jiang, Xudong and Loy, Chen Change},
-  booktitle={ICCV},
-  year={2023}
-}
-```
+```