StreetHazards
Introduced by Hendrycks et al. in Scaling Out-of-Distribution Detection for Real-World Settings
StreetHazards is a synthetic dataset for anomaly detection, created by inserting a diverse array of foreign objects into driving scenes and re-render the scenes with these novel objects.
Source: Scaling Out-of-Distribution Detection for Real-World SettingsBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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StreetHazards
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Mask2Anomaly
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Papers
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