TP2.L406.2
ADVERSARIAL DEFECT SYNTHESIS FOR INDUSTRIAL PRODUCTS IN LOW DATA REGIME
Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri, Università degli Studi di Milano, Italy
Session:
TP2.L406: Few-Shot Learning for Computer Vision Tasks (FSL4CVT) II Lecture
Track:
Special Sessions
Location:
Room 406
Presentation Time:
Tue, 10 Oct, 16:48 - 17:06 Malaysia Time (UTC +8)
Session Chair:
Anissa Mokraoui, Université Sorbonne Paris Nord, L2TI
Session TP2.L406
TP2.L406.1: ROTATION XGBOOST BASED METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION WITH LIMITED TRAINING SAMPLES
Wei Feng, Xinting Gao, Xidian University, China; Gabriel Dauphin, University Paris XIII, France; Yinghui Quan, Xidian University, China
TP2.L406.2: ADVERSARIAL DEFECT SYNTHESIS FOR INDUSTRIAL PRODUCTS IN LOW DATA REGIME
Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri, Università degli Studi di Milano, Italy
TP2.L406.3: SEMI-SUPERVISED FEW-SHOT SEGMENTATION WITH NOISY SUPPORT IMAGES
Runtong Zhang, University of Electronic Science and Technology of China, China; Hongyuan Zhu, Institute for Infocomm Research (I2R) & Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Hanwang Zhang, Nanyang Technological University, Singapore; Chen Gong, Nanjing University of Science and Technology, China; Joey Tianyi Zhou, Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Fanman Meng, University of Electronic Science and Technology of China, China
TP2.L406.4: BACKGROUND CLUSTERING PRE-TRAINING FOR FEW-SHOT SEGMENTATION
Zhimiao Yu, Tiancheng Lin, Yi Xu, Shanghai Jiao Tong University, China
TP2.L406.5: Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis
Jianghao Shen, Tianfu Wu, North Carolina State University, United States of America
Contacts