File size: 1,398 Bytes
7619cb4 e933d27 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | ---
license: apache-2.0
---
# DyFo: Test Code and Datasets
This repository contains the test code and evaluation data for **DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding** (CVPR 2025 Highlight).
For the full implementation, please refer to the main codebase at:
👉 https://github.com/PKU-ICST-MIPL/DyFo_CVPR2025
## 📦 How to Use
1. Download and unzip this dataset into the root directory of the main repository.
2. This package includes evaluation code and processed data for testing the DyFo method.
## 📚 Included Datasets
The following benchmark datasets are included for evaluation:
- **POPE-COCO/A-OKVQA/GQA**
Original source: https://github.com/RUCAIBox/POPE
- **Vstar**
Original source: https://github.com/penghao-wu/vstar
These datasets are pre-processed and ready to use with our test code.
## 📄 License
This dataset and code are licensed under the Apache 2.0 License.
## 📑 Citation
If you use DyFo in your work, please cite:
```bibtex
@misc{li2025dyfotrainingfreedynamicfocus,
title={DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding},
author={Geng Li and Jinglin Xu and Yunzhen Zhao and Yuxin Peng},
year={2025},
eprint={2504.14920},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2504.14920}
}
|