paper-with-me

Out-of-Distribution Detection 벤치마크

Out-of-Distribution Detection on ImageNet-1k vs iNaturalist

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AUROC

85.98 89.4 92.83 96.25 99.67 2021-05 2026-09 MOS (BiT-S-R101x1) — 98.15 (2021-05-05) DICE + ReAct (ResNet-50) — 96.24 (2021-11-18) ReAct (ResNet-50) — 91.53 (2021-11-24) ViM (ViT-B/16) — 99.41 (2022-03-21) KNN (ResNet-50 SupCon) — 94.72 (2022-04-13) KNN (ResNet-50) — 86.2 (2022-04-13) RankFeat (ResNetv2-101) — 91.91 (2022-09-18) ASH-S (ResNet-50) — 97.87 (2022-09-20) BATS (ResNet-50) — 97.67 (2022-10-09) MCM (CLIP-L) — 94.95 (2022-11-24) MCM (CLIP-B) — 94.61 (2022-11-24) MOOD — 86.9 (2023-02-06) NPOS — 96.19 (2023-03-06) DOE — 85.98 (2023-03-09) LINe (ResNet-50) — 97.56 (2023-03-24) NAC-UE (ResNet-50) — 96.52 (2023-06-05) ODIN+UMAP (ResNet-50) — 94.71 (2023-06-06) NNGuide (RegNet) — 99.57 (2023-09-26) NNGuide (ResNet50 w/ ReAct) — 97.7 (2023-09-26) SCALE (ResNet50) — 98.17 (2023-09-30) Forte — 99.67 (2024-10-02) DisCoPatch — 99.1 (2025-01-14) CMA(ViT-B/16, NegLabel) — 99.62 (2025-03-24) MOS (BiT-S-R101x1) — 98.15 (2021-05-05) ViM (ViT-B/16) — 99.41 (2022-03-21) NNGuide (RegNet) — 99.57 (2023-09-26) Forte — 99.67 (2024-10-02)
RankModel AUROCFPR95Latency, ms PaperCodeYear
1 Forte 99.67 ± 00.030.64 ± 00.06 Forte : Finding Outliers with Representation Typicality Estimation DebarghaG/forte 2024
2 CMA(ViT-B/16, NegLabel) 99.621.65 Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations ma-kjh/CMA-OoDD 2025
3 NNGuide (RegNet) 99.571.8331.00 Nearest Neighbor Guidance for Out-of-Distribution Detection jingkang50/openood · roomo7time/nnguide 2023
4 ViM (ViT-B/16) 99.412.60 ViM: Out-Of-Distribution with Virtual-logit Matching jingkang50/openood · haoqiwang/vim 2022
5 DisCoPatch 99.13.61.56 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection 2025
6 SCALE (ResNet50) 98.179.511.27 Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement kai422/scale 2023
7 MOS (BiT-S-R101x1) 98.159.28 MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space deeplearning-wisc/large_scale_ood · deeplearning-wisc/gradnorm_ood · ma-kjh/CMA-OoDD · +2 2021
8 ASH-S (ResNet-50) 97.8711.49 Extremely Simple Activation Shaping for Out-of-Distribution Detection andrijazz/ash · litianliu/fdbd-ood 2022
9 NNGuide (ResNet50 w/ ReAct) 97.711.1211.10 Nearest Neighbor Guidance for Out-of-Distribution Detection jingkang50/openood · roomo7time/nnguide 2023
10 BATS (ResNet-50) 97.67 Boosting Out-of-distribution Detection with Typical Features 2022
11 LINe (ResNet-50) 97.5612.26 LINe: Out-of-Distribution Detection by Leveraging Important Neurons yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons 2023
12 NAC-UE (ResNet-50) 96.52 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization bierone/ood_coverage 2023
13 DICE + ReAct (ResNet-50) 96.2418.64 DICE: Leveraging Sparsification for Out-of-Distribution Detection deeplearning-wisc/dice 2021
14 NPOS 96.1916.58 Non-Parametric Outlier Synthesis deeplearning-wisc/npos 2023
15 MCM (CLIP-L) 94.9528.38 Delving into Out-of-Distribution Detection with Vision-Language Representations deeplearning-wisc/mcm · HHU-MMBS/plp-official-tmlr2024 2022
16 KNN (ResNet-50 SupCon) 94.7230.83 Out-of-Distribution Detection with Deep Nearest Neighbors deeplearning-wisc/knn-ood · ArthurHoa/deep-eknn · munhouiani/ood-knn 2022
17 ODIN+UMAP (ResNet-50) 94.7121.97 Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability tmlr-group/unleashing-mask 2023
18 MCM (CLIP-B) 94.6130.91 Delving into Out-of-Distribution Detection with Vision-Language Representations deeplearning-wisc/mcm · HHU-MMBS/plp-official-tmlr2024 2022
19 RankFeat (ResNetv2-101) 91.9141.31 RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection kingjamessong/rankfeat 2022
20 ReAct (ResNet-50) 91.5342.40 ReAct: Out-of-distribution Detection With Rectified Activations deeplearning-wisc/react 2021
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