Transductive transfer learning for visual recognition
In recent years, deep neural networks (DNNs) have brought great advances to various computer vision tasks, such as image classification, object detection, semantic segmentation, etc. However, the considerable successes of DNNs are achieved at a high cost of quite a lot of densely labeled training im...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/164573 |
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