Contrastive Self-Supervised Learning for Image Classification

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Contrastive Self-Supervised Learning for Image Classification

In computer vision, most of the existing state-of-the-art results are dominated by models trained in supervised learning approach, where abundant of labelled data is used for training. However, the labelling of data is costly and limited in some fields. Thus, people have introduced a new paradigm th...

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Bibliographic Details
Main Author:	Tan, Yong Le
Format:	Final Year Project / Dissertation / Thesis
Published:	2021
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online Access:	http://eprints.utar.edu.my/4189/ http://eprints.utar.edu.my/4189/1/17ACB01800_FYP.pdf

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