Browsing Institutt for teknisk kybernetikk by Subject "Semisupervised deep learning"
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CIRAL: a hybrid active learning framework for plankon taxa labeling
(Journal article; Peer reviewed, 2021)With the complex structure of planktonic species and an immense amount of data captured from autonomous underwater vehicles (AUVs), a large burden is placed on the domain experts for plankton taxa labeling. At the same ... -
A combined informative and representative active learning approach for plankton taxa labeling
(Peer reviewed; Journal article, 2021)With an ever-increasing amount of image data, the manual labeling process has become the bottleneck in many machine learning applications. Plankton taxa labeling is especially a challenge due to its complex nature, and the ...