Few-shot vision recognition and generation for the open-world

Deep Neural Networks (DNNs) have achieved remarkable success across various computer vision tasks, but their reliance on extensive labeled datasets limits their applicability in data-scarce scenarios. Few-shot learning offers a promising solution by enabling models to learn from minimal data, yet tr...

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書目詳細資料
主要作者: Song, Nan
其他作者: Lin Guosheng
格式: Thesis-Doctor of Philosophy
語言:English
出版: Nanyang Technological University 2024
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在線閱讀:https://hdl.handle.net/10356/181293
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機構: Nanyang Technological University
語言: English