MA-P.PZ3.1
BAG-OF-FEATURES-BASED KNOWLEDGE DISTILLATION FOR LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORKS
Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
Session:
Interpretation and Understanding
Track:
Image and Video Analysis, Synthesis, and Retrieval
Location:
Poster Zone 3
Presentation Time:
Mon, 17 Oct, 16:00 - 18:30 China Standard Time (UTC +8)
Mon, 17 Oct, 10:00 - 12:30 Central European Time (UTC +1)
Mon, 17 Oct, 08:00 - 10:30 UTC
Mon, 17 Oct, 04:00 - 06:30 Eastern Time (UTC -5)
Mon, 17 Oct, 10:00 - 12:30 Central European Time (UTC +1)
Mon, 17 Oct, 08:00 - 10:30 UTC
Mon, 17 Oct, 04:00 - 06:30 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session MA-P.PZ3
MA-P.PZ3.1: BAG-OF-FEATURES-BASED KNOWLEDGE DISTILLATION FOR LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORKS
Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Greece
MA-P.PZ3.2: HISTORIAN: A LARGE-SCALE HISTORICAL FILM DATASET WITH CINEMATOGRAPHIC ANNOTATION
Daniel Helm, Fabian Jogl, Martin Kampel, TU Wien, Austria
MA-P.PZ3.3: TOPOLOGICALLY-CONSISTENT MAGNITUDE PRUNING FOR VERY LIGHTWEIGHT GRAPH CONVOLUTIONAL NETWORKS
Hichem Sahbi, CNRS Sorbonne University, France
MA-P.PZ3.4: UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS
Claire Launay, Ruben Coen-Cagli, Albert Einstein College of Medicine, United States of America; Jonathan Vacher, ENS, PSL University, France
MA-P.PZ3.5: DIFFERENTIAL PSEUDO-IMAGE FOR SKELETON-BASED DYNAMIC GESTURE RECOGNITION
Tomasz Kapuscinski, Mateusz Mis, Rzeszow University of Technology, Poland