首页|期刊导航|Computer Modeling in Engineering & Sciences|FastSECOND:Real-Time 3D Detection via Swin-Transformer Enhanced SECOND with Geometry-Aware Learning
Computer Modeling in Engineering & Sciences2025,Vol.144Issue(7):P.1071-1090,20.DOI:10.32604/cmes.2025.064775
FastSECOND:Real-Time 3D Detection via Swin-Transformer Enhanced SECOND with Geometry-Aware Learning
摘要
关键词
3D object detection/automatic driving/Deep Learning/SECOND/geometry-aware learning分类
信息技术与安全科学引用本文复制引用
Xinyu Li,Gang Wan,Xinyang Chen,Liyue Qie,Xinnan Fan,Pengfei Shi,Jin Wan..FastSECOND:Real-Time 3D Detection via Swin-Transformer Enhanced SECOND with Geometry-Aware Learning[J].Computer Modeling in Engineering & Sciences,2025,144(7):P.1071-1090,20.基金项目
funded by the National Key R&D Program of China(Grant No.2022YFB4703400) (Grant No.2022YFB4703400)
the China Three Gorges Corporation(Grant No.2324020012) (Grant No.2324020012)
the National Natural Science Foundation of China(Grant No.62476080) (Grant No.62476080)
the Jiangsu Province Natural Science Foundation(Grant No.BK20231186) (Grant No.BK20231186)
Key Laboratory about Maritime Intelligent Network Information Technology of the Ministry of Education(EKLMIC202405). (EKLMIC202405)