SOTAVerified

Out-of-Distribution Detection

Detect out-of-distribution or anomalous examples.

Papers

Showing 1–50 of 888 papers

TitleStatusHype
Magnitude-aware Probabilistic Speaker EmbeddingsCode3
Learning Transferable Negative Prompts for Out-of-Distribution DetectionCode2
DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution DetectionCode2
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and SegmentationCode2
Variational Bayesian Last LayersCode2
Recent Advances in OOD Detection: Problems and ApproachesCode2
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation ModelsCode2
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A BenchmarkCode2
Large Language Models for Anomaly and Out-of-Distribution Detection: A SurveyCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
MOODv2: Masked Image Modeling for Out-of-Distribution DetectionCode2
MultiOOD: Scaling Out-of-Distribution Detection for Multiple ModalitiesCode2
Towards Open Vocabulary Learning: A SurveyCode2
Disentangled Information BottleneckCode1
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram MatricesCode1
Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and BenchmarksCode1
Denoising diffusion models for out-of-distribution detectionCode1
Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile RobotCode1
Detecting Underspecification with Local EnsemblesCode1
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and CalibratingCode1
DeCoOp: Robust Prompt Tuning with Out-of-Distribution DetectionCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Delving into Out-of-Distribution Detection with Medical Vision-Language ModelsCode1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Scaling Out-of-Distribution Detection for Real-World SettingsCode1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsCode1
Diffusion for Out-of-Distribution Detection on Road Scenes and BeyondCode1
Deep Anomaly Detection with Outlier ExposureCode1
Confidence-Aware Learning for Deep Neural NetworksCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Continual Evidential Deep Learning for Out-of-Distribution DetectionCode1
Deep Residual Flow for Out of Distribution DetectionCode1
Broken Neural Scaling LawsCode1
A Simple Fix to Mahalanobis Distance for Improving Near-OOD DetectionCode1
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature LeveragingCode1
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?Code1
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say NoCode1
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution DetectionCode1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized EmbeddingsCode1
Contrastive Out-of-Distribution Detection for Pretrained TransformersCode1
Adversarial vulnerability of powerful near out-of-distribution detectionCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
A framework for benchmarking class-out-of-distribution detection and its application to ImageNetCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language ModelsCode1
Block Selection Method for Using Feature Norm in Out-of-distribution DetectionCode1
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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