Transfer learning based on different image retrieval models
With the rapid development of digital technology, image retrieval has been used in more and more applications; for example, commodity retrieval, scenic spot retrieval, etc. However, the difficulty of collecting different types of images varies from cases to cases. Some images are easy to collect and...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163989 |