MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Benchmark Model Rank Results
multi-class-anomaly-detection-on-visa-unified-multi-classMambaAD#4Detection AUROC: 94.3Segmentation AUROC: 98.5Detection F1-max: 89.4…
multi-class-anomaly-detection-on-real-iad-unified-multi-classMambaAD (ResNet34 + Mamba [3,4,6,3]) (extra data)#6Detection AUROC: 86.3Segmentation AP: 33.0Detection F1-max: 77.0…
multi-class-anomaly-detection-on-real-iad-unified-multi-classMambaAD#7Detection AUROC: 86.3Segmentation AP: 33.0Detection F1-max: 77.0…
multi-class-anomaly-detection-on-mvtec-adMambaAD#8Detection AUROC: 98.6Segmentation AUROC: 97.7