2026-10-13T13:20:36Z https://www.scidb.cn/oai

10.57760/sciencedb.j00173.00099 2026-09-28T14:10:50Z

2026-09-28 UAVREL: A Benchmark Dataset for Dynamic Relation Comprehension in UAV Videos doi:10.57760/sciencedb.j00173.00099 en Serious declaration: If this dataset is used in papers, books, academic reports, or other works, please cite the following data paper references: Liu Xiaorui, Deng Chubo, Hou Zhongyan, Yan Qiwei, Lu Wanxuan, Hou Yingyan, Yu Hongfeng, Sun Xian UAVREL: UAV Video Dynamic Relationship Understanding Benchmark Dataset [J]. Journal of Electronics and Information Technology, 2026 LIU Xiaorui, DENG Chubo, HOU Zhongyan, YAN Qiwei, LU Wanxuan, HOU Yingyan, YU Hongfeng, SUN Xian. UAVREL: A Benchmark Dataset for Dynamic Relation Comprehension in UAV Videos[J]. Journal of Electronics & Information Technology, 2026. Authors: Liu Xiaorui, Deng Chubo, Hou Zhongyan, Yan Qiwei, Lu Wanxuan, Hou Yingyan, Yu Hongfeng, Sun Xian Unit: Aerospace Information Innovation Institute, Chinese Academy of Sciences Corresponding author: Deng Chubo, email: dengcb@aircas.ac.cn Fund Project: National Natural Science Foundation of China Youth Science Fund 42301437 Dataset Introduction: Video scene graph generation is an advanced visual understanding task that extracts objects and their interrelationships from videos. At present, relevant research mostly focuses on natural scenes, and further exploration is still needed in the field of remote sensing. The significant changes in the perspective of drone videos and the large differences in target scales have significantly increased the cost of data annotation, and the lack of large-scale benchmark datasets is the main obstacle to current research on drone video scene graph generation. We constructed a dataset for understanding drone video relationships, annotating 12 target categories and approximately 880000 target boxes in 50 drone videos; And based on the target box, about 460000 relationship triplets were annotated for 20 relationship categories.  Video scene graph generation; Remote sensing; Relation comprehension liu xiao rui Deng Chubo Hou Zhongyan Yan Qiwei Lu Wanxuan Hou Yingyan Yu Hongfeng Sun Xian PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.11999/JEIT260221 Science Data Bank