Open AccessSelf-supervised Learning from Semantically Imprecise Data
Author(s) -
Clemens-Alexander Brust,
Björn Barz,
Joachim Denzler
Publication year - 2022
Publication title -
proceedings of the 17th international joint conference on computer vision, imaging and computer graphics theory and applications
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.5220/0010766700003124
Subject(s) - computer science , classifier (uml) , extrapolation , artificial intelligence , machine learning , bespoke , labeled data , fidelity , training set , semi supervised learning , supervised learning , test data , artificial neural network , mathematical analysis , telecommunications , mathematics , political science , law , programming language