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SotA/Methodology/Anomaly Detection/MPDD

Anomaly Detection on MPDD

Metric: Detection AUROC (higher is better)

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#Model↕Detection AUROC▼AugmentationsPaperDate↕Code
1GLASS99.6NoA Unified Anomaly Synthesis Strategy with Gradie...2024-07-12Code
2CRAS98.8NoCenter-aware Residual Anomaly Synthesis for Mult...2025-05-23Code
3DMDD98.1NoDual-Modeling Decouple Distillation for Unsuperv...2024-08-07-
4PBAS97.7NoProgressive Boundary Guided Anomaly Synthesis fo...2024-12-23Code
5GLAD97.5NoGLAD: Towards Better Reconstruction with Global ...2024-06-11Code
6POUTA97.5NoProduce Once, Utilize Twice for Anomaly Detection2023-12-20-
7Dinomaly97.2NoDinomaly: The Less Is More Philosophy in Multi-C...2024-05-23Code
8RealNet96.3YesRealNet: A Feature Selection Network with Realis...2024-03-09Code
9DiffusionAD96.2NoDiffusionAD: Norm-guided One-step Denoising Diff...2023-03-15Code
10ULSAD95.73NoRevisiting Deep Feature Reconstruction for Logic...2024-10-21Code
11LeMO87.4NoTowards Total Online Unsupervised Anomaly Detect...2023-05-25-
12FastRecon82.5No---
13AdaCLIP82.5NoAdaCLIP: Adapting CLIP with Hybrid Learnable Pro...2024-07-22Code
14PatchCore82.12NoTowards Total Recall in Industrial Anomaly Detec...2021-06-15Code
15KAnoCLIP77.8NoKAnoCLIP: Zero-Shot Anomaly Detection through Kn...2025-01-07-