Self-supervised Learning: A Succinct Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-023-09884-2.pdf
Reference58 articles.
1. Albelwi S (2022) Survey on self-supervised learning: auxiliary pretext tasks and contrastive learning methods in imaging. Entropy 24(4):551. https://doi.org/10.3390/e24040551
2. Ohri K, Kumar M (2021) Review on self-supervised image recognition using deep neural networks. Knowl-Based Syst 224:7090. https://doi.org/10.1016/j.knosys.2021.107090
3. Orhan, AE, Gupta VV, Lake BM (2007) Self-supervised learning through the eues of a child 2020, arXiv e-prints, arXiv-2007
4. Tao L, Wang X, Yamasaki T (2022) An improved inter-intra contrastive learning framework on self-supervised video representation. IEEE Trans Circ Syst Video Technol. https://doi.org/10.1109/tcsvt.2022.3141051
5. Jaiswal A, Babu AR, Zadeh MZ, Banerjee D, Makedon F (2020) A survey on contrastive self-supervised learning. Technologies 9(1):2. https://doi.org/10.3390/technologies9010002
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