Ramifications of incorrect image segmentations; emphasizing on the potential effects on deep learning methods failure
Abstract Introduction Detecting failure cases is critical to ensure a secure self-driving system. Any flaw in the system directly results in an accident. In genuine class, the model’s probability reflects better-reflected model confidence. As a result, the confidence distributions of failed predicti...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-05-01
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| Series: | Journal of Big Data |
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| Online Access: | https://doi.org/10.1186/s40537-022-00624-0 |