Technical Program

Session Detail

Session Title TU4.R5: Advanced Methods for Object Detection III
Presentation Mode Oral
Session Time Tuesday, 30 July, 16:20 - 18:00
Location Room 315
Session ChairMarco Chini, LIST-Luxemburg

TU4.R5.1: SPATIAL ENHANCED-SSD FOR MULTICLASS OBJECT DETECTION IN REMOTE SENSING IMAGES
         Guanqun Wang; Beijing Institute of Technology
         Yin Zhuang; Peking University
         Zhiru Wang; Beijing Institute of Technology
         He Chen; Beijing Institute of Technology
         Hao Shi; Beijing Institute of Technology
         Liang Chen; Beijing Institute of Technology

TU4.R5.2: AIRCRAFT DETECTION FROM REMOTE SENSING IMAGE BASED ON A WEAKLY SUPERVISED ATTENTION MODEL
         Jinsheng Ji; Shanghai Jiao Tong University
         Tao Zhang; Shanghai Jiao Tong University
         Zhen Yang; Jiangxi Science and Technology Normal University
         Linfeng Jiang; Shanghai Jiao Tong University
         Weilin Zhong; Shanghai Jiao Tong University
         Huilin Xiong; Shanghai Jiao Tong University

TU4.R5.3: OBJECT DETECTION IN VHR IMAGE USING TRANSFER LEARNING WITH DEFORMABLE CONVOLUTION
         Zeyu Cao; Zhejiang University
         Xiaorun Li; Zhejiang University
         Liaoying Zhao; HangZhou Dianzi University

TU4.R5.4: MULTI-SCALE FEATURE FUSION NETWORK FOR OBJECT DETECTION IN VHR OPTICAL REMOTE SENSING IMAGES
         Wenhua Zhang; Xidian University
         Licheng Jiao; Xidian University
         Xu Liu; Xidian University
         Jia Liu; Nanjing University of Science and Technology

TU4.R5.5: POLARIMETRIC HRRP TARGET RECOGNITION BASED ON CONVLSTM
         Wei Chen; School of Information and Electronics, Beijing Institute of Technology
         Liang Zhang; School of Information and Electronics, Beijing Institute of Technology
         Ying Xi; School of Information and Electronics, Beijing Institute of Technology
         Yanhua Wang; School of Information and Electronics, Beijing Institute of Technology
         Yang Li; School of Information and Electronics, Beijing Institute of Technology