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Out Of Distribution Detection On Imagenet 1K 12

المقاييس

AUROC
FPR95

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
AUROC
FPR95
Paper TitleRepository
MOS (BiT-S-R101x1)90.1139.97MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space-
ASH-S (ResNet-50)95.1222.8Extremely Simple Activation Shaping for Out-of-Distribution Detection-
NPOS91.2237.93Non-Parametric Outlier Synthesis-
LINe (ResNet-50)95.0320.70LINe: Out-of-Distribution Detection by Leveraging Important Neurons-
NNGuide (RegNet)95.4217.97Nearest Neighbor Guidance for Out-of-Distribution Detection-
RP+GradNorm-70.12Detecting Out-of-distribution Data through In-distribution Class Prior
DOE83.5459.83Out-of-distribution Detection with Implicit Outlier Transformation-
DML-54.74Decoupling MaxLogit for Out-of-Distribution Detection-
SCALE (ResNet50)95.7120.05Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement-
RankFeat (ResNetv2-101)92.1536.8RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection-
MOOD89.1-Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need-
ODIN+UMAP (ResNet-50)89.2440.94Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability-
NNGuide (ResNet50 w/ ReAct)95.4519.72Nearest Neighbor Guidance for Out-of-Distribution Detection-
DICE + ReAct (ResNet-50)93.427.25DICE: Leveraging Sparsification for Out-of-Distribution Detection-
BATS (ResNet-50)94.2827.11Boosting Out-of-distribution Detection with Typical Features-
MCM (CLIP-L)91.4938.17Delving into Out-of-Distribution Detection with Vision-Language Representations-
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Out Of Distribution Detection On Imagenet 1K 12 | SOTA | HyperAI