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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/151080 |