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Combating Label Noise in Image Data Using MultiNET Flexible Confident Learning

Deep neural networks (DNNs) have been used successfully for many image classification problems. One of the most important factors that determines the final efficiency of a DNN is the correct construction of the training set. Erroneously labeled training images can degrade the final accuracy and addi...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Adam Popowicz, Krystian Radlak, Slawomir Lasota, Karolina Szczepankiewicz, Michal Szczepankiewicz
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2022-07-01
Rangatū:Applied Sciences
Ngā marau:
Urunga tuihono:https://www.mdpi.com/2076-3417/12/14/6842
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