WEP1.PA: Object Detection and Recognition for Aerial and Satellite Imagery
Wednesday, 6 August, 09:15 - 10:30
Location: Plaza Ballroom: Poster Area A
Session Type: Poster
Session Chair: Mikhail Klassen, Planet
Track: AI and Big Data
Plaza Ballroom: Poster Area A

WEP1.PA.7: MULTI-DIRECTIONAL GROUPED MAMBA NETWORK FOR INFRARED SMALL TARGET DETECTION

Bin Xiao, Yue Hu, Harbin Institute of Technology, China
Plaza Ballroom: Poster Area A

WEP1.PA.8: AFMSFFNet: An Anchor-Free-Based Feature Fusion Model for Ship Detection

Yuxin Zhang, Chunlei Dong, Lixin Guo, Xiao Meng, Yue Liu, Qihao Wei, Xidian University, China
Plaza Ballroom: Poster Area A

WEP1.PA.9: FM-YOLO: A Novel Approach to Small Object Detection for Dense Vehicle Scenarios in UAV Images

Wenkang Qiu, School of Electronic and Information Engineering, Wuyi University, China; Chaojun Dong, School of Electronics and Information Engineering Wuyi University, China; Xiankun Liu, Facility of Intelligence Manufacture Wuyi University, China; Yikui Zhai, Ye Li, School of Electronics and Information Engineering Wuyi University, China
Plaza Ballroom: Poster Area A

WEP1.PA.10: KNOWLEDGE DISTILLATION BASED LIGHTWEIGHT SATELLITE VIDEO MOTION TARGET DETECTION ALGORITHM

Lingrui Zhang, School of Electronics and Information Engineering, Harbin Institute of Technology, China; Xiangrong Zhang, School of Management, Heilongjiang Institute of Technology, China; Yanfeng Gu, School of Electronics and Information Engineering, Harbin Institute of Technology, China
Plaza Ballroom: Poster Area A

WEP1.PA.11: ADAPTIVE FEDERATED LEARNING FOR SHIP DETECTION ACROSS DIVERSE SATELLITE IMAGERY SOURCES

Tran-Vu La, Luxembourg Institute of Science and Technology, Luxembourg; Minh-Tan Pham, IRISA, Université Bretagne Sud, France; Yu Li, Patrick Matgen, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg
Plaza Ballroom: Poster Area A

WEP1.PA.12: AERIAL IMAGERY AND DEEP LEARNING FOR SCALABLE SOLAR PANEL DETECTION

Tej Bahadur Shahi, Alan Woodley, Queensland University of Technology, Australia