Towards robust inference against distribution shifts in computer vision
After a decade of prosperity, the development of machine learning based on deep neural networks (DNNs) seems to reach a new turning point. A variety of tasks and fields have proved that recklessly feeding a massive volume of data and increasing the model capacity would no longer bring us a panacea f...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2021
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/154119 |
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| 機構: | Nanyang Technological University |
| 語言: | English |