HyperAIHyperAI

Command Palette

Search for a command to run...

Console

Out Of Distribution Detection On Cifar 100 Vs

Metrics

AUPR
AUROC

Results

Performance results of various models on this benchmark

Paper Title
DHM100100Deep Hybrid Models for Out-of-Distribution Detection
Ensemble of ViTs-98.11Exploring the Limits of Out-of-Distribution Detection
ViT-L_16 finetuned on CIFAR-100-97.98Exploring the Limits of Out-of-Distribution Detection
R50+ViT_B-16 finetuned on CIFAR-10092.0896.23Exploring the Limits of Out-of-Distribution Detection
ViT_B-16 finetuned on CIFAR-10091.8995.53Exploring the Limits of Out-of-Distribution Detection
MLP-Mixer_B-16 finetuned on CIFAR-10090.2295.31Exploring the Limits of Out-of-Distribution Detection
CLIP using class name words describing the two distributions-94.68Exploring the Limits of Out-of-Distribution Detection
ERD (ResNet18)-94.3Semi-supervised novelty detection using ensembles with regularized disagreement
OpenHybrid-85.6Hybrid Models for Open Set Recognition
Maximum Logit Score (MLS)-83.2Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
WRN 40-2 + OECC35.278.7Outlier Exposure with Confidence Control for Out-of-Distribution Detection
Joint contrastive and supervised training-78.3Contrastive Training for Improved Out-of-Distribution Detection
ResNet + diagonal elements of Gram matrix-76.6Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices
DenseNet + diagonal elements of Gram matrix-70.1Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices
0 of 14 row(s) selected.
Out Of Distribution Detection On Cifar 100 Vs | SOTA | HyperAI