TU4.M3.4
CDFGAN : A SELF-SUPERVISED INFRARED SMALL TARGET DETECTION NETWORK
Xingyu Zhou, Bin Xiao, Yue Hu, Harbin Institute of Technology, China
Session:
TU4.M3: Deep Learning Approaches for Object Detection and Recognition in Remote Sensing I Oral
Track:
AI and Big Data
Location:
Mezzanine: Room M3
Presentation Time:
Tuesday, 5 August, 16:30 - 16:45
Session Chair:
Diego Valsesia, Politecnico di Torino
Session TU4.M3
TU4.M3.1: GLRT-RSDOR: GLRT-BASED REMOTE SENSING DIFFICULT OBJECT RETRIEVAL
Linping Zhang, Qiying Hu, Xueqian Wang, Yu Liu, Gang Li, Tsinghua University, China
TU4.M3.2: GROUP CONVOLUTION ATTENTION BASED MULTI-SCALE OBJECT DETECTION OF REMOTE SENSING IMAGES
Han Zhang, Tao Xu, Xiaohui Yang, University of Jinan, China; Yuqian Zhang, Shandong Provincial Bureau of Geology and Mineral Resources, China; Chenxin Xiao, University of Jinan, China
TU4.M3.3: TOWARDS STORAGE-AWARE ONBOARD CHANGE DETECTION
Gabriele Inzerillo, Diego Valsesia, Enrico Magli, Politecnico di Torino, Italy; Aniello Fiengo, European Space Agency, Netherlands
TU4.M3.4: CDFGAN : A SELF-SUPERVISED INFRARED SMALL TARGET DETECTION NETWORK
Xingyu Zhou, Bin Xiao, Yue Hu, Harbin Institute of Technology, China
TU4.M3.5: Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Peng Liu, Sen Lei, Heng-Chao Li, southwest jiaotong university, China
Resources