Deep feature learning for image classification via countering over-fitting
The great success of deep neural networks on visual recognition has inspired numerous real-world applications. However, such superior performance is closely related to model complexity and the amount of annotated data. Over-deepened networks and lack of data annotation will degrade generalization ca...
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Format: | Thesis-Doctor of Philosophy |
Language: | English |
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Nanyang Technological University
2021
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Online Access: | https://hdl.handle.net/10356/151080 |
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Institution: | Nanyang Technological University |
Language: | English |
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