IVMSP-18.4
DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Shanghai Jiaotong University, China; Dai Fei, Academy of System Engineering, Academy of Military Sciences, China
Session:
Machine Learning for Image Processing III
Track:
Image, Video, and Multidimensional Signal Processing
Location:
Gather Area J
Presentation Time:
Tue, 10 May, 20:00 - 20:45 China Time (UTC +8)
Tue, 10 May, 12:00 - 12:45 UTC
Tue, 10 May, 12:00 - 12:45 UTC
Session Chair:
Changhuai You, Institute for Infocomm Research, A*STAR
Session IVMSP-18
IVMSP-18.1: DOWNSTREAM AUGMENTATION GENERATION FOR CONTRASTIVE LEARNING
Tomohiro Hayase, Suguru Yasutomi, Fujitsu, Ltd., Japan; Nakamasa Inoue, Tokyo Institute of Technology, Japan
IVMSP-18.2: Few-shot learning with improved local representations via bias rectify module
Chao Dong, Qi Ye, Wenchao Meng, Kaixiang Yang, Zhejiang University, China
IVMSP-18.3: IMAGE-TO-VIDEO RE-IDENTIFICATION VIA MUTUAL DISCRIMINATIVE KNOWLEDGE TRANSFER
Pichao Wang, Fan Wang, Hao Li, Alibaba Group, United States of America
IVMSP-18.4: DynSNN: A Dynamic Approach to Reduce Redundancy in Spiking Neural Networks
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Shanghai Jiaotong University, China; Dai Fei, Academy of System Engineering, Academy of Military Sciences, China
IVMSP-18.5: MEJIGCLU: MORE EFFECTIVE JIGSAW CLUSTERING FOR UNSUPERVISED VISUAL REPRESENTATION LEARNING
Yongsheng Zhang, Qing Liu, Yang Zhao, Yixiong Liang, Central South University, China
IVMSP-18.6: GANET: UNARY ATTENTION REACHES PAIRWISE ATTENTION VIA IMPLICIT GROUP CLUSTERING IN LIGHT-WEIGHT CNNS
Cheng Zhuang, Yunlian Sun, Nanjing University of Science and Technology, China