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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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2021
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| Online Access: | http://eprints.utar.edu.my/4189/1/17ACB01800_FYP.pdf http://eprints.utar.edu.my/4189/ |
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