Survey on Self-Supervised Learning: Auxiliary Pretext Tasks and Contrastive Learning Methods in Imaging

Although deep learning algorithms have achieved significant progress in a variety of domains, they require costly annotations on huge datasets. Self-supervised learning (SSL) using unlabeled data has emerged as an alternative, as it eliminates manual annotation. To do this, SSL constructs feature re...

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Bibliografske podrobnosti
Glavni avtor: Saleh Albelwi
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2022-04-01
Serija:Entropy
Teme:
self-supervised learning (SSL)
auxiliary pretext tasks
contrastive learning
pretext tasks
data augmentation
contrastive loss
Online dostop:https://www.mdpi.com/1099-4300/24/4/551
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