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SotA/Methodology/Anomaly Detection/Fishyscapes

Anomaly Detection on Fishyscapes

Metric: FPR95 (higher is better)

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#Model↕FPR95▼AugmentationsPaperDate↕Code
1FlowEneDet21.58NoConcurrent Misclassification and Out-of-Distribu...2023-05-16Code
2SML19.64NoStandardized Max Logits: A Simple yet Effective ...2021-07-23Code
3Synboost18.75YesPixel-wise Anomaly Detection in Complex Driving ...2021-03-09Code
4Bayesian DeepLab15.5NoEvaluating Bayesian Deep Learning Methods for Se...2018-11-30Code
5DenseHybrid5.5YesDenseHybrid: Hybrid Anomaly Detection for Dense ...2022-07-06Code
6PEBAL1.73YesPixel-wise Energy-biased Abstention Learning for...2021-11-24Code
7Mask2Anomaly0.82YesUnmasking Anomalies in Road-Scene Segmentation2023-07-25Code
8RPL+CoroCL0.52YesResidual Pattern Learning for Pixel-wise Out-of-...2022-11-26Code