2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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IVMSP-9: Zero and Few Short Learning

Session Type: Poster
Time: Wednesday, 9 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Amit Roy-Chowdhury, University of California, Riverside
 
   IVMSP-9.1: MULTIPLE-INPUT MULTIPLE-OUTPUT FUSION NETWORK FOR GENERALIZED ZERO-SHOT LEARNING
         Fangming Zhong; Dalian University of Technology
         Guangze Wang; Dalian University of Technology
         Zhikui Chen; Dalian University of Technology
         Xu Yuan; Dalian University of Technology
         Feng Xia; Dalian University of Technology
 
   IVMSP-9.2: REPRESENTATIVE LOCAL FEATURE MINING FOR FEW-SHOT LEARNING
         Kun Yan; Peking University
         Lingbo Liu; Sun Yat-Sen University
         Jun Hou; Sensetime
         Ping Wang; Peking University
 
   IVMSP-9.3: KAN: KNOWLEDGE-AUGMENTED NETWORKS FOR FEW-SHOT LEARNING
         Zeyang Zhu; East China Normal University
         Xin Lin; East China Normal University
 
   IVMSP-9.4: FEW-SHOT IMAGE CLASSIFICATION WITH MULTI-FACET PROTOTYPES
         Kun Yan; Peking University
         Zied Bouraoui; Artois University
         Ping Wang; Peking University
         Shoaib Jameel; University of Essex
         Steven Schockaert; Cardiff University
 
   IVMSP-9.5: SELF-SUPERVISED LEARNING FOR FEW-SHOT IMAGE CLASSIFICATION
         Da Chen; Alibaba Group
         Yuefeng Chen; Alibaba Group
         Yuhong Li; Alibaba Group
         Feng Mao; Alibaba Group
         Yuan He; Alibaba Group
         Hui Xue; Alibaba Group
 
   IVMSP-9.6: DOMAIN ADAPTATION FOR LEARNING GENERATOR FROM PAIRED FEW-SHOT DATA
         Chun-Chih Teng; National Chiao Tung University
         Pin-Yu Chen; IBM Research
         Wei-Chen Chiu; National Chiao Tung University