WE1.M3.3
Fully Sparse Two-Stage Object Detection Network with Auxiliary Learning for ALS Point Clouds
Yanze Jiang, Yanfeng Gu, Xian Li, Harbin Institute of Technology, China
Session:
WE1.M3: Deep Learning Approaches for Object Detection and Recognition in Remote Sensing II Oral
Track:
AI and Big Data
Location:
Mezzanine: Room M3
Presentation Time:
Wednesday, 6 August, 08:30 - 08:45
Session Chair:
Mikhail Klassen, Planet
Presentation
Discussion
Resources
No resources available.
Session WE1.M3
WE1.M3.1: LCB-CV-UNET: ENHANCED DETECTOR FOR HIGH DYNAMIC RANGE RADAR SIGNALS
Yanbin Wang, Xingyu Chen, Yumiao Wang, Xiang Wang, Chuanfei Zang, Guolong Cui, University of Electronic Science and Technology of China, China; Jiahuan Liu, Desay SV Co. Ltd., China
WE1.M3.2: TRANSFORMER-BASED ARBITRARY ORIENTED OBJECT DETECTION IN VERY-HIGH-RESOLUTION REMOTE SENSING IMAGES
Jinmin Lee, Aisha Javed, Changhui Lee, Youkyung Han, Seoul National University of Sciend and Technology, Korea (South)
WE1.M3.3: Fully Sparse Two-Stage Object Detection Network with Auxiliary Learning for ALS Point Clouds
Yanze Jiang, Yanfeng Gu, Xian Li, Harbin Institute of Technology, China
WE1.M3.4: Research on Electric Tower Detection Method Based on Improved YOLOv11
Siao Liu, Ye Tian, Jianyu Wang, Lei Chen, Hongwei Li, Yihuan Li, China Telecom Company Limited, China
WE1.M3.5: VISION-LANGUAGE MODEL FOR REMOTE SENSING IMAGES OBJECT DETECTION
Dongyang Liu, Harbin Institute of Technology, China; Tong Li, Shanghai Institute of Satellite, China; Yunxiao Qi, Yunqiao Xi, Jing Jin, Junping Zhang, Harbin Institute of Technology, China
Resources
No resources available.