Technical Program

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MA.L1: Deep Learning for Detection and Classification I

Session Type: Lecture
Time: Monday, October 8, 10:30 - 12:10
Location: Trianti
Session Chair: Konstantinos Diamantaras, TEI of Thessaloniki
 
 MA.L1.1: MARGIN-BASED SAMPLE FILTERING FOR IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
         Pantelis Kaplanoglou; Aristotle University of Thessaloniki
         Konstantinos Diamantaras; Alexander Technological Educational Institute of Thessaloniki
 
 MA.L1.2: EFFNET: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS
         Ido Freeman; Aptiv - Delphi Deutschland GmbH
         Lutz Roese-Koerner; Aptiv - Delphi Deutschland GmbH
         Anton Kummert; Wuppertal University
 
 MA.L1.3: ONLINE FILTER CLUSTERING AND PRUNING FOR EFFICIENT CONVNETS
         Zhengguang Zhou; University of Science and Technology of China
         Wengang Zhou; University of Science and Technology of China
         Richang Hong; Hefei University of Technology
         Houqiang Li; University of Science and Technology of China
 
 MA.L1.4: CAN DNNS LEARN TO LIPREAD FULL SENTENCES?
         George Sterpu; Trinity College Dublin
         Christian Saam; Trinity College Dublin
         Naomi Harte; Trinity College Dublin
 
 MA.L1.5: CYCLIC ANNEALING TRAINING CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION WITH NOISY LABELS
         Jiawei Li; Tsinghua University
         Tao Dai; Tsinghua University
         Qingtao Tang; Tsinghua University
         Yeli Xing; Tsinghua University
         Shu-Tao Xia; Tsinghua University