MLSP-2.2
ITERATIVE SELF KNOWLEDGE DISTILLATION --- FROM POTHOLE CLASSIFICATION TO FINE-GRAINED AND COVID RECOGNITION
Kuan-Chuan Peng, Mitsubishi Electric Research Laboratories (MERL), United States of America
Session:
Pattern Recognition and Classification I
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Sun, 8 May, 12:00 - 12:45 UTC
Session Chair:
Bowon Lee, Inha University
Session MLSP-2
MLSP-2.1: JOINT DUAL-DOMAIN MATRIX FACTORIZATION FOR ECG BIOMETRIC RECOGNITION
Kuikui Wang, Gongping Yang, Yilong Yin, Shandong University, China; Yuwen Huang, Heze University, China; Lu Yang, Shandong Jianzhu University, China
MLSP-2.2: ITERATIVE SELF KNOWLEDGE DISTILLATION --- FROM POTHOLE CLASSIFICATION TO FINE-GRAINED AND COVID RECOGNITION
Kuan-Chuan Peng, Mitsubishi Electric Research Laboratories (MERL), United States of America
MLSP-2.3: ATTENTION-BASED ADVERSARIAL PARTIAL DOMAIN ADAPTATION
Mengzhu Wang, Xiong Peng, Wei Yu, Zhigang Luo, National University of Defense Technology, China; Shan An, Tech & Data Center JD.COM Inc, China; Xiao Luo, Peking University, China; Junyang Chen, Shenzhen University, China
MLSP-2.4: Group-wise Feature Selection for Supervised Learning
Qi Xiao, Hebi Li, Jin Tian, Zhengdao Wang, Iowa State University, United States of America
MLSP-2.5: A LIGHT WEIGHT MODEL FOR VIDEO SHOT OCCLUSION DETECTION
Junhua Liao, Wanbin Zhao, Yanbing Yang, Liangyin Chen, Sichuan University, China; Haihan Duan, The Chinese University of Hong Kong, China
MLSP-2.6: DETECTING BACKDOOR ATTACKS AGAINST POINT CLOUD CLASSIFIERS
Zhen Xiang, David J. Miller, Xi Li, George Kesidis, Pennsylvania State University, United States of America; Siheng Chen, Shanghai Jiao Tong University, China