ll-13/LRS-VQA
LRS-VQA Dataset This repository contains the LRS-VQA benchmark dataset, presented in the paper When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning. Code: The associated code and evaluation scripts can be found on the project's GitHub repository: https://github.com/VisionXLab/LRS-VQA Introduction Efficient vision-language understanding of large Remote Sensing Images (RSIs) is meaningful but challenging.… See the full description on the dataset page: https://huggingface.co/datasets/ll-13/LRS-VQA.
| Author / organization | ll-13 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 2.4K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 24 April 2025 |
| Last updated at source | 29 July 2025 |
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- 17 Oct 2026 Description: LRS-VQA Dataset This repository contains the LRS-VQA benchmark dataset, presented in the paper When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning. Code: The associated code and eval → LRS-VQA Dataset This repository contains the LRS-VQA benchmark dataset, presented in the paper When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning. Code: The associated code and eval
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