Anomaly Detection on Fishyscapes

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#	Model↕	AP▼	Augmentations	Paper	Date↕	Code
1	RPL+CoroCL	95.96	Yes	Residual Pattern Learning for Pixel-wise Out-of-...	2022-11-26	Code
2	Mask2Anomaly	95.2	Yes	Unmasking Anomalies in Road-Scene Segmentation	2023-07-25	Code
3	PEBAL	92.38	Yes	Pixel-wise Energy-biased Abstention Learning for...	2021-11-24	Code
4	Synboost	72.59	Yes	Pixel-wise Anomaly Detection in Complex Driving ...	2021-03-09	Code
5	DenseHybrid	72.3	Yes	DenseHybrid: Hybrid Anomaly Detection for Dense ...	2022-07-06	Code
6	FlowEneDet	67.8	No	Concurrent Misclassification and Out-of-Distribu...	2023-05-16	Code
7	SML	53.11	No	Standardized Max Logits: A Simple yet Effective ...	2021-07-23	Code
8	Bayesian DeepLab	48.7	No	Evaluating Bayesian Deep Learning Methods for Se...	2018-11-30	Code

#1RPL+CoroCLSOTA
95.96
AP· Augmentations· 2022-11-26
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Code
#2Mask2Anomaly
95.2
AP· Augmentations· 2023-07-25
Unmasking Anomalies in Road-Scene Segmentation Code
#3PEBALSOTA
92.38
AP· Augmentations· 2021-11-24
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Code
#4SynboostSOTA
72.59
AP· Augmentations· 2021-03-09
Pixel-wise Anomaly Detection in Complex Driving Scenes Code
#5DenseHybrid
72.3
AP· Augmentations· 2022-07-06
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Code
#6FlowEneDet
67.8
AP· 2023-05-16
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Code
#7SML
53.11
AP· 2021-07-23
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Code
#8Bayesian DeepLabSOTA
48.7
AP· 2018-11-30
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Code