Anomaly Detection on Fishyscapes

Metric: FPR95 (higher is better)

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#	Model↕	FPR95▼	Augmentations	Paper	Date↕	Code
1	FlowEneDet	21.58	No	Concurrent Misclassification and Out-of-Distribu...	2023-05-16	Code
2	SML	19.64	No	Standardized Max Logits: A Simple yet Effective ...	2021-07-23	Code
3	Synboost	18.75	Yes	Pixel-wise Anomaly Detection in Complex Driving ...	2021-03-09	Code
4	Bayesian DeepLab	15.5	No	Evaluating Bayesian Deep Learning Methods for Se...	2018-11-30	Code
5	DenseHybrid	5.5	Yes	DenseHybrid: Hybrid Anomaly Detection for Dense ...	2022-07-06	Code
6	PEBAL	1.73	Yes	Pixel-wise Energy-biased Abstention Learning for...	2021-11-24	Code
7	Mask2Anomaly	0.82	Yes	Unmasking Anomalies in Road-Scene Segmentation	2023-07-25	Code
8	RPL+CoroCL	0.52	Yes	Residual Pattern Learning for Pixel-wise Out-of-...	2022-11-26	Code

#1FlowEneDetSOTA
21.58
FPR95· 2023-05-16
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow Code
#2SMLSOTA
19.64
FPR95· 2021-07-23
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Code
#3SynboostSOTA
18.75
FPR95· Augmentations· 2021-03-09
Pixel-wise Anomaly Detection in Complex Driving Scenes Code
#4Bayesian DeepLabSOTA
15.5
FPR95· 2018-11-30
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Code
#5DenseHybrid
5.5
FPR95· Augmentations· 2022-07-06
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Code
#6PEBAL
1.73
FPR95· Augmentations· 2021-11-24
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Code
#7Mask2Anomaly
0.82
FPR95· Augmentations· 2023-07-25
Unmasking Anomalies in Road-Scene Segmentation Code
#8RPL+CoroCL
0.52
FPR95· Augmentations· 2022-11-26
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Code