Comparative study of neural network architectures for lightweight image recognition tasks in augmented reality
This study provides a comparative analysis of neural network architectures for image recognition tasks, particularly in the context of lightweight augmented reality applications, such as on mobile devices. The study focuses on four popular neural network architectures: Convolutional Neural Networ...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175218 |