SOTAVerified

Out-of-Distribution Detection

Detect out-of-distribution or anomalous examples.

Papers

Showing 301–350 of 888 papers

TitleStatusHype
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection—0
NECO: NEural Collapse Based Out-of-distribution detectionCode0
Entropy-MCMC: Sampling from Flat Basins with EaseCode0
Understanding the Feature Norm for Out-of-Distribution Detection—0
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio ScoreCode0
Learning A Disentangling Representation For PU Learning—0
OpenPatch: a 3D patchwork for Out-Of-Distribution detection—0
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation—0
Out-of-Distribution Detection by Leveraging Between-Layer Transformation SmoothnessCode0
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection AlgorithmsCode0
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?Code0
Scaling for Training Time and Post-hoc Out-of-distribution Detection EnhancementCode1
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular DataCode0
Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy MaximizationCode0
Nearest Neighbor Guidance for Out-of-Distribution DetectionCode1
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time—0
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture—0
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models—0
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodCode0
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
Continual Evidential Deep Learning for Out-of-Distribution DetectionCode1
Probabilistic Self-supervised Learning via Scoring Rules Minimization—0
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational AutoencoderCode0
Enhancing Automated and Early Detection of Alzheimer's Disease Using Out-Of-Distribution Detection—0
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imagingCode1
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features—0
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning—0
Out-of-distribution detection using normalizing flows on the data manifold—0
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy OptimizationCode1
Graph Neural Stochastic Differential Equations—0
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say NoCode1
Expecting The Unexpected: Towards Broad Out-Of-Distribution DetectionCode0
How Good Are LLMs at Out-of-Distribution Detection?Code1
From Global to Local: Multi-scale Out-of-distribution DetectionCode0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks—0
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsCode1
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
Out-of-Distribution Detection for Monocular Depth EstimationCode1
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance—0
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems—0
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition—0
Redesigning Out-of-Distribution Detection on 3D Medical Images—0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization—0
Achieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomaliesCode0
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC—0
Three Factors to Improve Out-of-Distribution Detection—0
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViM (BiT)AUROC98.92—Unverified
2NAC-UE (ResNet-50)AUROC97.9—Unverified
3ASH-S (ResNet-50)AUROC97.6—Unverified
4SCALE (ResNet50)AUROC97.37—Unverified
5KNN (ResNet-50)AUROC97.18—Unverified
6DisCoPatchAUROC96.4—Unverified
7NNGuide (ResNet50 w/ ReAct)AUROC96.11—Unverified
8NNGuide (RegNet)AUROC95.82—Unverified
9ViM (ViT-B/16)AUROC95.34—Unverified
10KNN (ResNet-50 SupCon)AUROC94.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CMA(ViT-B/16, NegLabel)AUROC99.62—Unverified
2NNGuide (RegNet)AUROC99.57—Unverified
3ViM (ViT-B/16)AUROC99.41—Unverified
4DisCoPatchAUROC99.1—Unverified
5SCALE (ResNet50)AUROC98.17—Unverified
6MOS (BiT-S-R101x1)AUROC98.15—Unverified
7ASH-S (ResNet-50)AUROC97.87—Unverified
8NNGuide (ResNet50 w/ ReAct)AUROC97.7—Unverified
9BATS (ResNet-50)AUROC97.67—Unverified
10LINe (ResNet-50)AUROC97.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MOODAUROC88.5—Unverified
2RP+GradNormFPR9583.29—Unverified
3KNN (ResNet-50)FPR9577.09—Unverified
4Watermarking (WRN-40-2 w/ Energy)FPR9571.85—Unverified
5Watermarking (WRN-40-2 w/ MSP)FPR9570.59—Unverified
6DOEFPR9567.84—Unverified
7DMLFPR9561.43—Unverified
8GradNorm (ResNetv2-101)FPR9560.86—Unverified
9KNN (ResNet-50 SupCon)FPR9560.02—Unverified
10ReAct (ResNet-50)FPR9551.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MOODAUROC89.8—Unverified
2DOEFPR9580.94—Unverified
3RP+GradNormFPR9573.53—Unverified
4KNN (ResNet-50)FPR9569.53—Unverified
5DMLFPR9557.4—Unverified
6SHEFPR9554.19—Unverified
7ODIN+UMAP (ResNet-50)FPR9549.69—Unverified
8KNN (ResNet-50 SupCon)FPR9548.91—Unverified
9ReAct (ResNet-50)FPR9547.69—Unverified
10GradNorm (ResNetv2-101)FPR9546.48—Unverified
#ModelMetricClaimedVerifiedStatus
1MOODAUROC89.1—Unverified
2RP+GradNormFPR9570.12—Unverified
3DOEFPR9559.83—Unverified
4DMLFPR9554.74—Unverified
5ODIN+UMAP (ResNet-50)FPR9540.94—Unverified
6MOS (BiT-S-R101x1)FPR9539.97—Unverified
7MCM (CLIP-L)FPR9538.17—Unverified
8NPOSFPR9537.93—Unverified
9RankFeat (ResNetv2-101)FPR9536.8—Unverified
10DICE + ReAct (ResNet-50)FPR9527.25—Unverified
#ModelMetricClaimedVerifiedStatus
1DHMAUROC100—Unverified
2Ensemble of ViTsAUROC98.11—Unverified
3ViT-L_16 finetuned on CIFAR-100AUROC97.98—Unverified
4R50+ViT_B-16 finetuned on CIFAR-100AUROC96.23—Unverified
5ViT_B-16 finetuned on CIFAR-100AUROC95.53—Unverified
6MLP-Mixer_B-16 finetuned on CIFAR-100AUROC95.31—Unverified
7CLIP using class name words describing the two distributionsAUROC94.68—Unverified
8ERD (ResNet18)AUROC94.3—Unverified
9OpenHybridAUROC85.6—Unverified
10Maximum Logit Score (MLS)AUROC83.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DHMAUROC100—Unverified
2R+ViT finetuned on CIFAR-10AUROC98.52—Unverified
3ViT finetuned on CIFAR-10AUROC98.42—Unverified
4MLP-Mixer finetuned on CIFAR-10AUROC97.85—Unverified
5ZODE-KNNAUROC97.12—Unverified
6OpenHybridAUROC95.1—Unverified
7ERD (ResNet18)AUROC95.1—Unverified
8Wide 40-2 + OECCAUROC94.9—Unverified
9WRN 40-2 + OEAUROC93.3—Unverified
10Isolation Forest on EfficientNet Softmax valuesAUROC91.95—Unverified
#ModelMetricClaimedVerifiedStatus
1DHMAUROC100—Unverified
2Wide ResNet 40x2AUROC99.9—Unverified
3ResNet 34 + OECC+GMAUROC99.7—Unverified
4ResNet 34 + FSSDAUROC99.5—Unverified
5Wide ResNet 40x2AUROC99.43—Unverified
6ZODE-KNNAUROC99.12—Unverified
7ResNet18 + APR-PAUROC98.1—Unverified
8WRN 40-2 + OEAUROC97.8—Unverified
9WRN 40-2 (MSP Baseline)AUROC97.8—Unverified
10WRN 40-2 + Rotation PredictionAUROC96.2—Unverified
#ModelMetricClaimedVerifiedStatus
1NNGuide (RegNet)AUROC97.73—Unverified
2ViM (ViT-B/16)AUROC97.61—Unverified
3DisCoPatchAUROC94.4—Unverified
4NNGuide (ResNet50 w/ ReAct)AUROC92.49—Unverified
5NAC-UE (ResNet-50)AUROC91.45—Unverified
6GENAUROC80.43—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1OECC + MDAUROC98.7—Unverified
2DenseNet-BC-100AUROC98.4—Unverified
3ResNet-34AUROC97.9—Unverified
4CSNNAUROC87.2—Unverified
5OEAUROC86.9—Unverified
#ModelMetricClaimedVerifiedStatus
1RbAAP66.82—Unverified
2DOoDAP63.03—Unverified
3cDNPAP62.35—Unverified
4GMMSegAP47.6—Unverified
#ModelMetricClaimedVerifiedStatus
1WRN 40-2 (MSP Baseline)FPR9562.66—Unverified
2WRN 40-2 + OEFPR9538.5—Unverified
3WRN 40-2 + OECCFPR9528.89—Unverified
4Wide ResNet 40x2FPR9523.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-B-384 Mahalanobis (pre-trained on IN-21k)AUROC95—Unverified
2DisCoPatchAUROC94.3—Unverified
3EffNetv2-M Relative MahalanobisAUROC88.9—Unverified
4EffNetb7 Relative Cosine SimAUROC87.9—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNeXt50 + FSSDAUROC86.7—Unverified
2ResNeXt 50 + Maha distanceAUROC82.5—Unverified
3ResNeXt 50 + ODINAUROC61.3—Unverified
4ResNeXt 50 + OEAUROC52.6—Unverified
#ModelMetricClaimedVerifiedStatus
1GENFPR9597.3—Unverified
2ViM (ViT-B/16)FPR9536.75—Unverified
3NNGuide-ViM (ViT-B/16)FPR9533.1—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet34 + FSSDAUROC93.1—Unverified
2ResNet 34 + OEAUROC92.5—Unverified
3ResNet 34 + ODINAUROC90.8—Unverified
#ModelMetricClaimedVerifiedStatus
12-Layered GRUAUROC99.6—Unverified