IVMSP-10.4
SEMANTICALLY PROPORTIONAL PATCHMIX FOR FEW-SHOT LEARNING
Jingquan Wang, Jing Xu, Yu Pan, Harbin Institute of Technology (Shenzhen), China; Zenglin Xu, Harbin Institute of Technology (Shenzhen), PengCheng Laboratory, China
Session:
Machine Learning for Image Processing II
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area J
Presentation Time:
Mon, 9 May, 20:00 - 20:45 China Time (UTC +8)
Mon, 9 May, 12:00 - 12:45 UTC
Mon, 9 May, 12:00 - 12:45 UTC
Session Chair:
Ee Leng Joseph Tan, Nanyang Technological University
Session IVMSP-10
IVMSP-10.1: ACCURATE INSTANCE SEGMENTATION VIA COLLABORATIVE LEARNING
Tianyou Chen, Xiaoguang Hu, Jin Xiao, Guofeng Zhang, Shaojie Wang, Beihang University, China
IVMSP-10.2: Dynamic Binary Neural Network by learning channel-wise thresholds
Jiehua Zhang, Zhuo Su, Matti Pietikäinen, University of Oulu, China; Yanghe Feng, Xin Lu, National University of Defense Technology, China; Li Liu, 1. National University of Defense Technology; 2. University of Oulu, China
IVMSP-10.3: Self-supervised learning on a lightweight low-light image enhancement model with curve refinement
Wanyu Wu, Wei Wang, Xin Xu, Wuhan University of Science and Technology, China; Kui Jiang, Ruimin Hu, Wuhan University, China
IVMSP-10.4: SEMANTICALLY PROPORTIONAL PATCHMIX FOR FEW-SHOT LEARNING
Jingquan Wang, Jing Xu, Yu Pan, Harbin Institute of Technology (Shenzhen), China; Zenglin Xu, Harbin Institute of Technology (Shenzhen), PengCheng Laboratory, China
IVMSP-10.5: NOISE SUPPRESSION FOR IMPROVED FEW-SHOT LEARNING
Zhikui Chen, Tiandong Ji, Suhua Zhang, Fangming Zhong, Dalian University of Technology, China
IVMSP-10.6: ONLINE CONTINUAL LEARNING USING ENHANCED RANDOM VECTOR FUNCTIONAL LINK NETWORKS
Cheryl Sze Yin Wong, Yang Guo, ArulMurugan Ambikapathi, Savitha Ramasamy, Institute for Infocomm Research, Singapore