首页|期刊导航|Journal of Computer Science & Technology|FGHDet:Delving into Fine-Grained Features with Head Selection for UAV Object Detection
Journal of Computer Science & Technology2025，Vol.40Issue(5)：P.1301-1315,15.DOI:10.1007/s11390-025-5252-z
FGHDet:Delving into Fine-Grained Features with Head Selection for UAV Object Detection
摘要
关键词
anchor-head-based scale-level matching/drone-view image/fine-grained information extraction/learning fine-grained semantics分类
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Yan-Chao Bi,Yang Ning,Xiu-Shan Nie,Xian-Kai Lu,Rui-Heng Zhang,Huan-Long Zhang..FGHDet:Delving into Fine-Grained Features with Head Selection for UAV Object Detection[J].Journal of Computer Science & Technology,2025,40(5):P.1301-1315,15.基金项目
partially supported by the Major Basic Research Project of Shandong Provincial Natural Science Foundation under Grant No.ZR2024ZD03 （）
the National Natural Science Foundation of China under Grant No.62176141 （）
the Taishan Scholar Project of Shandong Province under Grant No.tsqn202103088 （）
the Major Science and Technology Innovation Project of Shandong Province of China under Grant No.2021CXGC11204 （）
the Natural Science Foundation of Shandong Province of China under Grant No.ZR202103010201 （）
the Shandong Excellent Young Scientists Fund under Grant No.ZR2024YQ006 （）
the Shandong Province Higher Education Institutions Youth Entrepreneurship and Technology Support Program under Grant No.2023KJ027. （）
