| CLIP (OE) |
- AUROC
- 99.6
|
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images 2022-05-23 |
코드 1 |
| GeneralAD |
- AUROC
- 99.3
|
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features 2024-07-17 |
코드 1 |
| Fake It Till You Make It |
- AUROC
- 99.1
|
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection 2022-05-28 |
코드 1 |
| BLISS |
- AUROC
- 99.1
|
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection 2024-07-24 |
연결 없음 |
| PANDA-OE |
- AUROC
- 98.9
|
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation 2020-10-12 |
코드 1 |
| Mean-Shifted Contrastive Loss |
- AUROC
- 98.6
|
Mean-Shifted Contrastive Loss for Anomaly Detection 2021-06-07 |
코드 1 · 코드 2 |
| CLIP (zero shot) |
- AUROC
- 98.5
|
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images 2022-05-23 |
코드 1 |
| DINO-FT |
- AUROC
- 98.4
|
Anomaly Detection Requires Better Representations 2022-10-19 |
코드 1 |
| Transformaly |
- AUROC
- 98.3
|
Transformaly -- Two (Feature Spaces) Are Better Than One 2021-12-08 |
코드 1 |
| CAP |
- AUROC
- 97.0
|
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection 2021-12-05 |
코드 1 |
| PANDA |
- AUROC
- 96.2
|
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation 2020-10-12 |
코드 1 |
| CSI |
- AUROC
- 94.3
|
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances 2020-07-16 |
코드 1 |
| DUIAD |
- AUROC
- 92.6
|
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework 2020-12-09 |
연결 없음 |
| DN2 |
- AUROC
- 92.5
|
Deep Nearest Neighbor Anomaly Detection 2020-02-24 |
연결 없음 |
| DisAug CLR |
- AUROC
- 92.5
|
Learning and Evaluating Representations for Deep One-class Classification 2020-11-04 |
코드 1 |
| FCDD |
- AUROC
- 92
|
Explainable Deep One-Class Classification 2020-07-03 |
코드 1 |
| IGD (pre-trained SSL) |
- AUROC
- 91.25
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| GAN based Anomaly Detection in Imbalance Problems |
- AUROC
- 90.6
|
GAN-based Anomaly Detection in Imbalance Problems 2020-08-28 |
연결 없음 |
| SSOOD |
- AUROC
- 90.1
|
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty 2019-06-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| SSD |
- AUROC
- 90.0
|
SSD: A Unified Framework for Self-Supervised Outlier Detection 2021-03-22 |
코드 1 · 코드 2 · 코드 3 |
| UTAD |
- AUROC
- 88.4
|
Unsupervised Two-Stage Anomaly Detection 2021-03-22 |
연결 없음 |
| GOAD |
- AUROC
- 88.2
|
Classification-Based Anomaly Detection for General Data 2020-05-05 |
코드 1 · 코드 2 |
| ARNET |
- AUROC
- 86.6
|
Attribute Restoration Framework for Anomaly Detection 2019-11-25 |
코드 1 |
| Reverse Distillation |
- AUROC
- 86.5
|
Anomaly Detection via Reverse Distillation from One-Class Embedding 2022-01-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| ADT |
- AUROC
- 86
|
Deep Anomaly Detection Using Geometric Transformations 2018-05-28 |
코드 1 · 코드 2 · 코드 3 |
| IGD (pre-trained ImageNet) |
- AUROC
- 83.68
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| ESAD |
- AUROC
- 83.3
|
ESAD: End-to-end Deep Semi-supervised Anomaly Detection 2020-12-09 |
연결 없음 |
| IGD (scratch) |
- AUROC
- 74.33
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| P-KDGAN |
- AUROC
- 73.05
|
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection 2020-07-14 |
연결 없음 |
| OLED |
- AUROC
- 67.1
|
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection 2021-03-27 |
코드 1 |