Domain adaption for few-shot learning in image classification
Machine learning has been widely used in various fields and successfully addresses many image classification problems in the presence of sufficient samples, but performs poorly in the absence of samples. Few-shot learning is an innovative approach to solving this problem. In this article, I con...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/164914 |