Effective image synthesis for effective deep neural network training
State-of-the-art deep neural networks (DNNs) necessitate a significant number of images to achieve accurate and robust models. However, gathering a large amount of images remains the prevailing approach, which proves expensive, time-consuming, and challenging to scale across different tasks and d...
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其他作者: | |
格式: | Thesis-Doctor of Philosophy |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/174934 |
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