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Models/GLAD

GLAD

Reported on 11 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology11 results

Anomaly DetectiononVisA
Detection AUROC· 2024-06-11
99.5
best: 99.8 (UniNet)
SOTA
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononVisA
F1-Score· 2024-06-11
98.3
SOTA
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMPDD
Detection AUROC· 2024-06-11
97.5
best: 99.6 (GLASS)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMPDD
Segmentation AUROC· 2024-06-11
98.7
best: 99.4 (GLASS)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMVTec AD
Detection AUROC· 2024-06-11
99.3
best: 99.9 (GLASS)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMVTec AD
Segmentation AP· 2024-06-11
70.9
best: 87.6 (WeakREST-Block)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMVTec AD
Segmentation AUPRO· 2024-06-11
95.3
best: 98.4 (WeakREST-Block)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2024-06-11
98.6
best: 99.7 (WeakREST-Block)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononVisA
Segmentation AUPRO· 2024-06-11
94.3
best: 96 (DiffusionAD)
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononVisA
Segmentation AUPRO (until 30% FPR)· 2024-06-11
94.3
best: 96.1 (AnomalyDINO-S (full-shot))
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487
Anomaly DetectiononVisA
Segmentation AUROC· 2024-06-11
98.6
best: 99.1 (Dinomaly ViT-L (model-unified multi-class))
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection arXiv:2406.07487