| Forte |
- FPR95
- 0.64 ± 00.06
- AUROC
- 99.67 ± 00.03
|
Forte : Finding Outliers with Representation Typicality Estimation 2024-10-02 |
코드 1 |
| CMA(ViT-B/16, NegLabel) |
- FPR95
- 1.65
- AUROC
- 99.62
|
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations 2025-03-24 |
코드 1 |
| NNGuide (RegNet) |
- FPR95
- 1.83
- AUROC
- 99.57
- Latency, ms
- 31.00
|
Nearest Neighbor Guidance for Out-of-Distribution Detection 2023-09-26 |
코드 1 · 코드 2 |
| ViM (ViT-B/16) |
- FPR95
- 2.60
- AUROC
- 99.41
|
ViM: Out-Of-Distribution with Virtual-logit Matching 2022-03-21 |
코드 1 · 코드 2 |
| DisCoPatch |
- FPR95
- 3.6
- AUROC
- 99.1
- Latency, ms
- 1.56
|
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection 2025-01-14 |
연결 없음 |
| SCALE (ResNet50) |
- FPR95
- 9.5
- AUROC
- 98.17
- Latency, ms
- 11.27
|
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement 2023-09-30 |
코드 1 |
| MOS (BiT-S-R101x1) |
- FPR95
- 9.28
- AUROC
- 98.15
|
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space 2021-05-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| ASH-S (ResNet-50) |
- FPR95
- 11.49
- AUROC
- 97.87
|
Extremely Simple Activation Shaping for Out-of-Distribution Detection 2022-09-20 |
코드 1 · 코드 2 |
| NNGuide (ResNet50 w/ ReAct) |
- FPR95
- 11.12
- AUROC
- 97.7
- Latency, ms
- 11.10
|
Nearest Neighbor Guidance for Out-of-Distribution Detection 2023-09-26 |
코드 1 · 코드 2 |
| BATS (ResNet-50) |
- AUROC
- 97.67
|
Boosting Out-of-distribution Detection with Typical Features 2022-10-09 |
연결 없음 |
| LINe (ResNet-50) |
- FPR95
- 12.26
- AUROC
- 97.56
|
LINe: Out-of-Distribution Detection by Leveraging Important Neurons 2023-03-24 |
코드 1 |
| NAC-UE (ResNet-50) |
- AUROC
- 96.52
|
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization 2023-06-05 |
코드 1 |
| DICE + ReAct (ResNet-50) |
- FPR95
- 18.64
- AUROC
- 96.24
|
DICE: Leveraging Sparsification for Out-of-Distribution Detection 2021-11-18 |
코드 1 |
| NPOS |
- FPR95
- 16.58
- AUROC
- 96.19
|
Non-Parametric Outlier Synthesis 2023-03-06 |
코드 1 |
| MCM (CLIP-L) |
- FPR95
- 28.38
- AUROC
- 94.95
|
Delving into Out-of-Distribution Detection with Vision-Language Representations 2022-11-24 |
코드 1 · 코드 2 |
| KNN (ResNet-50 SupCon) |
- FPR95
- 30.83
- AUROC
- 94.72
|
Out-of-Distribution Detection with Deep Nearest Neighbors 2022-04-13 |
코드 1 · 코드 2 · 코드 3 |
| ODIN+UMAP (ResNet-50) |
- FPR95
- 21.97
- AUROC
- 94.71
|
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability 2023-06-06 |
코드 1 |
| MCM (CLIP-B) |
- FPR95
- 30.91
- AUROC
- 94.61
|
Delving into Out-of-Distribution Detection with Vision-Language Representations 2022-11-24 |
코드 1 · 코드 2 |
| RankFeat (ResNetv2-101) |
- FPR95
- 41.31
- AUROC
- 91.91
|
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection 2022-09-18 |
코드 1 |
| ReAct (ResNet-50) |
- FPR95
- 42.40
- AUROC
- 91.53
|
ReAct: Out-of-distribution Detection With Rectified Activations 2021-11-24 |
코드 1 |
| MOOD |
- AUROC
- 86.9
|
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need 2023-02-06 |
코드 1 · 코드 2 |
| KNN (ResNet-50) |
- FPR95
- 59.08
- AUROC
- 86.2
|
Out-of-Distribution Detection with Deep Nearest Neighbors 2022-04-13 |
코드 1 · 코드 2 · 코드 3 |
| DOE |
- FPR95
- 55.87
- AUROC
- 85.98
|
Out-of-distribution Detection with Implicit Outlier Transformation 2023-03-09 |
코드 1 |
| SHE |
- FPR95
- 34.22
|
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy 2023-01-21 |
코드 1 |
| RP+GradNorm |
- FPR95
- 43.87
|
Detecting Out-of-distribution Data through In-distribution Class Prior 2023-04-25 |
코드 1 |
| DML |
- FPR95
- 47.32
|
Decoupling MaxLogit for Out-of-Distribution Detection 2023-01-01 |
연결 없음 |
| GradNorm |
- FPR95
- 50.03
|
On the Importance of Gradients for Detecting Distributional Shifts in the Wild 2021-10-01 |
코드 1 |
| GEN |
- FPR95
- 68.32
|
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection 2023-01-01 |
코드 1 |