WE1.P9.4
A Semi-supervised Learning Framework Combining CNN and Multi-scale Transformer for Traffic Sign Detection and Recognition
Siyun Chen, Zhenxin Zhang, Capital Normal University, China; Liqiang Zhang, Beijing Normal University, China; Rixing He, Zhen Li, Mengbing Xu, Capital Normal University, China; Hao Ma, Geo-Vision Technology Company, China
Session:
WE1.P9: Semi-supervised Target Detection Oral
Track:
Data Analysis
Location:
Room P9
Presentation Time:
Wednesday, 6 August, 08:45 - 09:00
Presentation
Discussion
Resources
No resources available.
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: DUAL-CRITERION PSEUDO LABEL SELECTION FOR SEMI-SUPERVISED ORIENTED OBJECT DETECTION ON REMOTE SENSING IMAGES
Zewei Yang, Jie Feng, Junpeng Zhang, Weisheng Dong, Ronghua Shang, Xidian University, China
WE1.P9.3: 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.P9.4: A Semi-supervised Learning Framework Combining CNN and Multi-scale Transformer for Traffic Sign Detection and Recognition
Siyun Chen, Zhenxin Zhang, Capital Normal University, China; Liqiang Zhang, Beijing Normal University, China; Rixing He, Zhen Li, Mengbing Xu, Capital Normal University, China; Hao Ma, Geo-Vision Technology Company, China
WE1.P9.5: 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
No resources available.