Open AccessExtreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning
Author(s) -
Michael S. Ryoo,
Kiyoon Kim,
Hyun Jong Yang
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.12299
Subject(s) - computer science , artificial intelligence , embedding , classifier (uml) , convolutional neural network , margin (machine learning) , low resolution , pattern recognition (psychology) , activity recognition , representation (politics) , computer vision , superresolution , machine learning , high resolution , image (mathematics) , geography , remote sensing , politics , political science , law
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