Learning visual concepts with fewer human annotations
<p>This thesis explores the use of modern deep neural networks to learn visual concepts with fewer human annotations on data. While data is abundant and increasingly easier to collect, most deep learning methods need extensive human labelling to be trained, which is often costly and may requir...
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Format: | Thesis |
Language: | English |
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2020
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