SOTAVerified

Out-of-Distribution Detection

Detect out-of-distribution or anomalous examples.

Papers

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Showing 1–10 of 888 papers

TitleStatusHype
Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation—0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
Out-of-distribution detection in 3D applications: a review—0
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks—0
A Variational Information Theoretic Approach to Out-of-Distribution Detection—0
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection—0
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging—0
EviNet: Evidential Reasoning Network for Resilient Graph Learning in the Open and Noisy EnvironmentsCode0
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection—0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—0
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All datasetsImageNet-1k vs TexturesImageNet-1k vs iNaturalistImageNet-1k vs PlacesImageNet-1k vs SUNImageNet-1k vs Curated OODs (avg.)CIFAR-100 vs CIFAR-10CIFAR-10 vs CIFAR-100CIFAR-10ImageNet-1k vs OpenImage-OSTL-10CIFAR-100 vs SVHNADE-OoD

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Mixup (Gaussian)Percentage correct95.93—Unverified
2Mixup (Imagenet)Percentage correct83.28—Unverified
3Baseline (Imagenet)Percentage correct80.57—Unverified
4Dropout(Imagenet)Percentage correct78.93—Unverified
5Baseline (Gaussian)Percentage correct73.28—Unverified
6Dropout(Gaussian)Percentage correct70.57—Unverified