Out Of Distribution Detection On Imagenet 1K 8

Metrics

AUROC

FPR95

Results

Performance results of various models on this benchmark

			Paper Title	Repository
DOE	76.26	80.94	Out-of-distribution Detection with Implicit Outlier Transformation
RP+GradNorm	-	73.53	Detecting Out-of-distribution Data through In-distribution Class Prior	-
KNN (ResNet-50)	80.10	69.53	Out-of-Distribution Detection with Deep Nearest Neighbors
DML	-	57.40	Decoupling MaxLogit for Out-of-Distribution Detection	-
SHE	-	54.19	Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy	-
ODIN+UMAP (ResNet-50)	86.92	49.69	Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
KNN (ResNet-50 SupCon)	88.40	48.91	Out-of-Distribution Detection with Deep Nearest Neighbors
ReAct (ResNet-50)	88.16	47.69	ReAct: Out-of-distribution Detection With Rectified Activations
GradNorm (ResNetv2-101)	-	46.48	On the Importance of Gradients for Detecting Distributional Shifts in the Wild
NPOS	90.44	43.77	Non-Parametric Outlier Synthesis
MOS (BiT-S-R101x1)	92.01	40.63	MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
MCM (CLIP-B)	92.57	37.59	Delving into Out-of-Distribution Detection with Vision-Language Representations
DICE (ResNet-50)	90.83	35.15	DICE: Leveraging Sparsification for Out-of-Distribution Detection
RankFeat (ResNetv2-101)	94.07	29.27	RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
MCM (CLIP-L)	94.14	29.00	Delving into Out-of-Distribution Detection with Vision-Language Representations
ASH-S (ResNet-50)	94.02	27.98	Extremely Simple Activation Shaping for Out-of-Distribution Detection
DICE + ReAct (ResNet-50)	93.94	25.45	DICE: Leveraging Sparsification for Out-of-Distribution Detection
SCALE (ResNet50)	95.02	23.27	Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
NNGuide (RegNet)	94.43	21.58	Nearest Neighbor Guidance for Out-of-Distribution Detection
LINe (ResNet50)	95.26	19.48	LINe: Out-of-Distribution Detection by Leveraging Important Neurons

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Out Of Distribution Detection On Imagenet 1K 8

Metrics

Results