SOTAVerified

Out-of-Distribution Detection

Detect out-of-distribution or anomalous examples.

Papers

Showing 351–400 of 888 papers

TitleStatusHype
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images—0
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar—0
HybridAugment++: Unified Frequency Spectra Perturbations for Model RobustnessCode1
A Holistic Assessment of the Reliability of Machine Learning Systems—0
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers—0
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification TasksCode0
Reject option models comprising out-of-distribution detection—0
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging—0
Unsupervised 3D out-of-distribution detection with latent diffusion modelsCode1
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasksCode0
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and CalibrationCode1
Image Background Serves as Good Proxy for Out-of-distribution Data—0
Towards Open Vocabulary Learning: A SurveyCode2
Beyond AUROC & co. for evaluating out-of-distribution detection performanceCode1
A Cosine Similarity-based Method for Out-of-Distribution DetectionCode0
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation—0
Density Uncertainty Layers for Reliable Uncertainty EstimationCode0
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution DetectionCode1
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers—0
BED: Bi-Encoder-Based Detectors for Out-of-Distribution DetectionCode0
Learning Unnormalized Statistical Models via Compositional Optimization—0
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing FlowsCode0
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?—0
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization—0
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution DetectionCode0
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection CapabilityCode0
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and GeneralizationCode1
DOS: Diverse Outlier Sampling for Out-of-Distribution DetectionCode0
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt LearningCode1
In or Out? Fixing ImageNet Out-of-Distribution Detection EvaluationCode1
Semantic Role Labeling Guided Out-of-distribution DetectionCode0
SR-OOD: Out-of-Distribution Detection via Sample Repairing—0
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionCode0
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to RankCode0
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck FrameworkCode0
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties—0
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing FlowCode1
Out-of-Distribution Detection for Adaptive Computer Vision—0
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz—0
A Survey on Out-of-Distribution Detection in NLP—0
Out-of-distribution detection algorithms for robust insect classification—0
Detecting Out-of-distribution Data through In-distribution Class PriorCode0
Persistently Trained, Diffusion-assisted Energy-based ModelsCode0
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction—0
Unified Out-Of-Distribution Detection: A Model-Specific Perspective—0
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgeryCode0
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution DetectionCode1
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantificationCode0
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation—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