WE1.P9.2
A NOVEL SEMI-SUPERVISED LEARNING METHOD FOR SAR ATR WITH LIMITED LABELED SAMPLES
Congwen Wu, Jifang Pei, Yuanzhe Shang, Weibo Huo, Deqing Mao, Wenjing Wang, Yin Zhang, Yulin Huang, Jianyu Yang, University of Electronic Science and Technology of China, China
Session:
WE1.P9: Semi-supervised Target Detection Oral
Track:
Data Analysis
Location:
Plaza: Room P9
Presentation Time:
Wednesday, 6 August, 08:15 - 08:30
Session Chair:
Shun Zhang, NWPU
Session WE1.P9
WE1.P9.1: FEW-SHOT OBJECT DETECTION IN REMOTE SENSING IMAGES VIA HIERARCHICAL SEMANTIC-VISUAL FUSION
Jiahui Qin, Yang Xu, Zebin Wu, Zhihui Wei, Nanjing University of Science and Technology, China
WE1.P9.2: A NOVEL SEMI-SUPERVISED LEARNING METHOD FOR SAR ATR WITH LIMITED LABELED SAMPLES
Congwen Wu, Jifang Pei, Yuanzhe Shang, Weibo Huo, Deqing Mao, Wenjing Wang, Yin Zhang, Yulin Huang, Jianyu Yang, University of Electronic Science and Technology of China, China
WE1.P9.3: BENCHMARKING CROSS-DOMAIN FEW-SHOT OBJECT DETECTION IN AERIAL IMAGERY
Hicham Talaoubrid, Université Sorbonne Paris Nord, France; Ismail Ben Ayed, ETS Montreal, Canada; Rémi Harvey, COSE, France; Anissa Mokraoui, Université Sorbonne Paris Nord, France
Resources