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Out-of-Distribution Detection
Out Of Distribution Detection On Imagenet 1K 10
Out Of Distribution Detection On Imagenet 1K 10
Metrics
AUROC
FPR95
Results
Performance results of various models on this benchmark
Columns
Model Name
AUROC
FPR95
Paper Title
RP+GradNorm
-
79.80
Detecting Out-of-distribution Data through In-distribution Class Prior
GEN
-
77.93
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
Watermarking (WRN-40-2 w/ Energy)
80.80
67.75
Watermarking for Out-of-distribution Detection
GradNorm (ResNetv2-101)
-
61.42
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Watermarking (WRN-40-2 w/ MSP)
84.00
61.2
Watermarking for Out-of-distribution Detection
MOS (BiT-S-R101x1)
81.23
60.43
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
MCM (CLIP-L)
84.88
59.88
Delving into Out-of-Distribution Detection with Vision-Language Representations
MCM (CLIP-B)
86.11
57.77
Delving into Out-of-Distribution Detection with Vision-Language Representations
SSD
85.4
57.2
SSD: A Unified Framework for Self-Supervised Outlier Detection
DML
-
52.80
Decoupling MaxLogit for Out-of-Distribution Detection
NPOS
88.80
46.12
Non-Parametric Outlier Synthesis
SHE
-
45.09
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
ODIN+UMAP (ResNet-50)
88.35
42.02
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
BATS (ResNet-50)
92.27
38.9
Boosting Out-of-distribution Detection with Typical Features
ReAct (ResNet-50)
91.53
38.42
ReAct: Out-of-distribution Detection With Rectified Activations
RankFeat (ResNetv2-101)
91.7
37.29
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
DOE
88.9
34.67
Out-of-distribution Detection with Implicit Outlier Transformation
DICE (ResNet-50)
90.3
31.72
DICE: Leveraging Sparsification for Out-of-Distribution Detection
DICE + ReAct (ResNet-50)
92.74
28.07
DICE: Leveraging Sparsification for Out-of-Distribution Detection
LINe (ResNet-50)
94.44
22.54
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
0 of 33 row(s) selected.
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