erenzhou/DVGBench

Dataset Sources

• Repository: https://github.com/VisionXLab/DVGBench
• Paper: https://arxiv.org/abs/xxx

Considering the fairness of the benchmark, we currently have no plans to publicly release the training set.

BibTeX:

@article{zhou2026dvgbench,
  author={Zhou, Yue and Chen, Jue and Huang, Penghui and Ding, Ran and Zou, Zhentao and Gao, Pengfei and Li, Ke and Yang, Xue and Jiang, Xue and Yang, Hongxin and Li Jonathan},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing}, 
  title={DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models}, 
  year={2026},
  volume={},
  number={},
  pages={}
}

Contact

yzhou@geoai.ecnu.edu.cn