Adaptation of object detection networks under anomalous conditions
Out of distribution (OOD) samples can negatively affect the performance of deep neural networks. When deep neural networks are used in cyber-physical systems, it may be vulnerable to OOD data, leading to large errors and compromise the safety of the system. This paper proposes combining OOD explanat...
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Main Author: | Koh, Rachel |
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Other Authors: | Arvind Easwaran |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166069 |
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Institution: | Nanyang Technological University |
Language: | English |
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