| Forte : Finding Outliers with Representation Typicality Estimation | ✓ Link | 99.67 ± 00.03 | 0.64 ± 00.06 | | Forte | 2024-10-02 |
| Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations | ✓ Link | 99.62 | 1.65 | | CMA(ViT-B/16, NegLabel) | 2025-03-24 |
| Nearest Neighbor Guidance for Out-of-Distribution Detection | ✓ Link | 99.57 | 1.83 | 31.00 | NNGuide (RegNet) | 2023-09-26 |
| ViM: Out-Of-Distribution with Virtual-logit Matching | ✓ Link | 99.41 | 2.60 | | ViM (ViT-B/16) | 2022-03-21 |
| DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection | | 99.1 | 3.6 | 1.56 | DisCoPatch | 2025-01-14 |
| Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement | ✓ Link | 98.17 | 9.5 | 11.27 | SCALE (ResNet50) | 2023-09-30 |
| MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space | ✓ Link | 98.15 | 9.28 | | MOS (BiT-S-R101x1) | 2021-05-05 |
| Extremely Simple Activation Shaping for Out-of-Distribution Detection | ✓ Link | 97.87 | 11.49 | | ASH-S (ResNet-50) | 2022-09-20 |
| Nearest Neighbor Guidance for Out-of-Distribution Detection | ✓ Link | 97.7 | 11.12 | 11.10 | NNGuide (ResNet50 w/ ReAct) | 2023-09-26 |
| Boosting Out-of-distribution Detection with Typical Features | | 97.67 | | | BATS (ResNet-50) | 2022-10-09 |
| LINe: Out-of-Distribution Detection by Leveraging Important Neurons | ✓ Link | 97.56 | 12.26 | | LINe (ResNet-50) | 2023-03-24 |
| Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization | ✓ Link | 96.52 | | | NAC-UE (ResNet-50) | 2023-06-05 |
| DICE: Leveraging Sparsification for Out-of-Distribution Detection | ✓ Link | 96.24 | 18.64 | | DICE + ReAct (ResNet-50) | 2021-11-18 |
| Non-Parametric Outlier Synthesis | ✓ Link | 96.19 | 16.58 | | NPOS | 2023-03-06 |
| Delving into Out-of-Distribution Detection with Vision-Language Representations | ✓ Link | 94.95 | 28.38 | | MCM (CLIP-L) | 2022-11-24 |
| Out-of-Distribution Detection with Deep Nearest Neighbors | ✓ Link | 94.72 | 30.83 | | KNN (ResNet-50 SupCon) | 2022-04-13 |
| Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability | ✓ Link | 94.71 | 21.97 | | ODIN+UMAP (ResNet-50) | 2023-06-06 |
| Delving into Out-of-Distribution Detection with Vision-Language Representations | ✓ Link | 94.61 | 30.91 | | MCM (CLIP-B) | 2022-11-24 |
| RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection | ✓ Link | 91.91 | 41.31 | | RankFeat (ResNetv2-101) | 2022-09-18 |
| ReAct: Out-of-distribution Detection With Rectified Activations | ✓ Link | 91.53 | 42.40 | | ReAct (ResNet-50) | 2021-11-24 |
| Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need | ✓ Link | 86.9 | | | MOOD | 2023-02-06 |
| Out-of-Distribution Detection with Deep Nearest Neighbors | ✓ Link | 86.2 | 59.08 | | KNN (ResNet-50) | 2022-04-13 |
| Out-of-distribution Detection with Implicit Outlier Transformation | ✓ Link | 85.98 | 55.87 | | DOE | 2023-03-09 |
| Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy | ✓ Link | | 34.22 | | SHE | 2023-01-21 |
| Detecting Out-of-distribution Data through In-distribution Class Prior) | ✓ Link | | 43.87 | | RP+GradNorm | 2023-04-25 |
| Decoupling MaxLogit for Out-of-Distribution Detection | | | 47.32 | | DML | 2023-01-01 |
| On the Importance of Gradients for Detecting Distributional Shifts in the Wild | ✓ Link | | 50.03 | | GradNorm | 2021-10-01 |
| GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection | ✓ Link | | 68.32 | | GEN | 2023-01-01 |