Update README.md

README.md

@@ -21,4 +21,26 @@ We find that the highest resolution in existing multimodal benchmarks is only 2K
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-**_HR-Bench_** is available in two versions: **_HR-Bench 8K_** and **_HR-Bench 4K_**. The **_HR-Bench 8K_** includes images with an average resolution of 8K. Additionally, we manually annotate the coordinates of objects relevant to the questions within the 8K image and crop these image to 4K resolution.
+**_HR-Bench_** is available in two versions: **_HR-Bench 8K_** and **_HR-Bench 4K_**. The **_HR-Bench 8K_** includes images with an average resolution of 8K. Additionally, we manually annotate the coordinates of objects relevant to the questions within the 8K image and crop these image to 4K resolution.
+
+## 🏆 Mini-Leaderboard
+
+We show a mini-leaderboard here and please find more information in our paper.
+
+| Model | **_HR-Bench 4K_** (**_Acc._**) | **_HR-Bench 8K_** (**_Acc._**) | **_Avg._** |
+|-------|:--------:|:--------:|:-------:|
+|InternVL-2-llama3-76B 🥇 | **71.0** | **61.4** | **66.2** |
+|Gemini 1.5 Flash 🥈 | 66.8 | 62.8 | 64.8 |
+|InternVL-1.5-26B 🥉 | 60.6 | 57.9 | 59.3 |
+| &nbsp;&nbsp;&nbsp;&nbsp; w/ $DC^2$ | 63.4 | 61.3 | 62.3 |
+|GPT4o | 59.0 | 55.5 | 57.3 |
+|QWen-VL-max | 58.5 | 52.5 | 55.5 |
+|Xcomposer2-4kHD-7B | 57.8 | 51.3 | 54.6 |
+|LLaVA-HR-X-13B | 53.6 | 46.9 | 50.3 |
+|LLaVA-1.6-34B | 52.9 | 47.4 | 50.2 |
+|QWen-VL-plus | 53.0 | 46.5 | 49.8 |
+|LLaVA-HR-X-7B | 52.0 | 41.6 | 46.8 |
+
+
+## 📧 Contact
+- Wenbin Wang: wangwenbin97@whu.edu.cn