Neural network compression techniques for out-of-distribution detection
One of the key challenges in deploying ML models on embedded systems are the numerous resource constraints, for instance, memory footprint, response time, and power consumption. Such real-time systems require resource-efficient models with low inference time while maintaining reasonable accuracy. In...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/159148 |