HyperAI초신경

Out Of Distribution Detection On Imagenet 1K 8

평가 지표

AUROC
FPR95

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
AUROC
FPR95
Paper TitleRepository
RankFeat (ResNetv2-101)94.0729.27RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
NPOS90.4443.77Non-Parametric Outlier Synthesis
SHE-54.19Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
DICE + ReAct (ResNet-50)93.9425.45DICE: Leveraging Sparsification for Out-of-Distribution Detection
ReAct (ResNet-50)88.1647.69ReAct: Out-of-distribution Detection With Rectified Activations
KNN (ResNet-50 SupCon)88.4048.91Out-of-Distribution Detection with Deep Nearest Neighbors
MOS (BiT-S-R101x1)92.0140.63MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
MCM (CLIP-L)94.1429.00Delving into Out-of-Distribution Detection with Vision-Language Representations
NNGuide (RegNet)94.4321.58Nearest Neighbor Guidance for Out-of-Distribution Detection
ODIN+UMAP (ResNet-50)86.9249.69Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
MCM (CLIP-B)92.5737.59Delving into Out-of-Distribution Detection with Vision-Language Representations
DICE (ResNet-50)90.8335.15DICE: Leveraging Sparsification for Out-of-Distribution Detection
ASH-S (ResNet-50)94.0227.98Extremely Simple Activation Shaping for Out-of-Distribution Detection
MOOD89.8-Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
SCALE (ResNet50)95.0223.27Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement-
LINe (ResNet50)95.2619.48LINe: Out-of-Distribution Detection by Leveraging Important Neurons
GradNorm (ResNetv2-101)-46.48On the Importance of Gradients for Detecting Distributional Shifts in the Wild
KNN (ResNet-50)80.1069.53Out-of-Distribution Detection with Deep Nearest Neighbors
DOE76.2680.94Out-of-distribution Detection with Implicit Outlier Transformation
DML-57.40Decoupling MaxLogit for Out-of-Distribution Detection-
0 of 21 row(s) selected.