WE1.M3.4
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:
Room M3
Presentation Time:
Wednesday, 6 August, 08:45 - 09:00
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: Target Recognition in Radar Doppler Signals: Augmentation and Classifier Evaluation
Pedro Alves, Sarah Carvalho, Felix Antreich, Instituto Tecnologico de Aeronautica, Brazil; Felicio Castro, Embraer S.A., Brazil
WE1.M3.3: 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.M3.4: 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.M3.5: Research on Electric Tower Detection Method Based on Improved YOLOv11
Siao Liu, Jianyu Wang, Lei Chen, Hongwei Li, Ningning Zhang, Ning Wang, China Telecom Company Limited, China
Resources
No resources available.