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Anomaly Detection
Anomaly Detection On Fishyscapes L F
Anomaly Detection On Fishyscapes L F
Metrics
AP
FPR95
Results
Performance results of various models on this benchmark
Columns
Model Name
AP
FPR95
Paper Title
Repository
Void Classifier
10.29
22.11
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
DenseHybrid
43.9
6.2
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
SML
36.55
14.53
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
FlowEneDet
50.15
5.20
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
Softmax Entropy
2.9
44.8
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Learned Embedding Density
4.7
24.4
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
SynBoost
43.22
15.79
Pixel-wise Anomaly Detection in Complex Driving Scenes
PEBAL
44.17
7.58
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
OutlierHead combined instances
31.31
19.02
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
cDNP+OE
69.8
7.5
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
RPL+CoroCL
53.99
2.27
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Bayesian DeepLab
9.8
38.5
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
NFlowJS-GF (with extra inlier set: Vistas and Wilddash2)
69.43
2.00
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data
-
CosMe
41.95
13.32
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes
-
Dirichlet DeepLab
34.28
47.43
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
NFlow
39.36
-
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data
-
Mask2Anomaly
46.04
4.36
Unmasking Anomalies in Road-Scene Segmentation
cDNP
62.2
8.9
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
0 of 18 row(s) selected.
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