WE4.R12.4
Physical-Optics Micro-Doppler Simulation for CNN-Based Pedestrian Classification
Abdullah Alburadi, Kamal Sarabandi, University of Michigan, United States
Session:
WE4.R12: Object Detection II Oral
Track:
Theory and Techniques
Location:
Georgetown East
Presentation Time:
Wednesday, 12 August, 17:00 - 17:15
Presentation
Discussion
Resources
No resources available.
Session WE4.R12
WE4.R12.1: PG-DDFA: PHYSICS-GUIDED DUAL-PATH DECOUPLED FEATURE ALIGNMENT FOR CROSS-DOMAIN SAR SHIP DETECTION
Jiahao Li, Zongyong Cui, Zheng Zhou, Tiancheng Ai, Zongjie Cao, University of Electronic Science and Technology of China, China
WE4.R12.2: CONTEXT AND ATTENTION AWARE SUPPRESSION FOR FALSE-ALARM-RESISTANT SHIP DETECTION IN SAR IMAGES
Yijun Wei, Weibo Qin, Yuntian Liu, Feng Wang, Fudan University, China
WE4.R12.3: PACE: PROJECTED ALIGNMENT AND CALIBRATED EVIDENCE FOR CROSS-MODAL FEW-SHOT SAR OBJECT DETECTION
Zheng Zhou, Zongyong Cui, Bohang Lin, Yijun Li, Zongjie Cao, University of Electronic Science and Technology of China, China
WE4.R12.4: Physical-Optics Micro-Doppler Simulation for CNN-Based Pedestrian Classification
Abdullah Alburadi, Kamal Sarabandi, University of Michigan, United States
Resources
No resources available.