A Survey on Semi-, Self- and Unsupervised Learning for Image Classification

A Survey on Semi-, Self- and Unsupervised Learning for Image Classification

While deep learning strategies achieve outstanding results in computer vision tasks, one issue remains: The current strategies rely heavily on a huge amount of labeled data. In many real-world problems, it is not feasible to create such an amount of labeled training data. Therefore, it is common to...

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Bibliographic Details
Main Authors: Lars Schmarje, Monty Santarossa, Simon-Martin Schroder, Reinhard Koch
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Semi-supervised
self-supervised
unsupervised
image classification
deep learning
survey
Online Access:https://ieeexplore.ieee.org/document/9442775/

Internet

https://ieeexplore.ieee.org/document/9442775/

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