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Anomaly Detection on AITEX

0.893Mean AUC-ROCDRA
0.52380.619650.71550.81135Aug 1, 2021Jan 6, 2022Jun 14, 2022Nov 20, 2022Apr 28, 2023Oct 4, 2023Mar 11, 2024

Evaluation results

MethodLinks
DRAC (number of anomaly classes)=12, Training setting=ten random anomaly examples2022.030.893—————————
DRAtraining_anomaly_examples=10, anomaly_classes=122022.030.893—————————
DevNettraining_anomaly_examples=10, anomaly_classes=122022.030.887—————————
SAOEtraining_anomaly_examples=10, anomaly_classes=122022.030.874—————————
MLEPtraining_anomaly_examples=10, anomaly_classes=122022.030.867—————————
FLOStraining_anomaly_examples=10, anomaly_classes=122022.030.841—————————
MINNSC (number of anomaly classes)=12, Training setting=ten random anomaly examples2022.030.813—————————
InCTRLSetup=8-shot2024.030.806—————————
WinCLIPSetup=8-shot2024.030.796—————————
PaDiMSetup=8-shot2024.030.792—————————
InCTRLSetup=4-shot2024.030.79—————————
PaDiMSetup=4-shot2024.030.787—————————
PaDiMSetup=2-shot2024.030.784—————————
CoOpSetup=8-shot2024.030.769—————————
DRAtraining_anomaly_examples=10, known_anomaly_class=Mean2022.030.766—————————
WinCLIPSetup=4-shot2024.030.764—————————
InCTRLSetup=2-shot2024.030.761—————————
PatchCoreSetup=8-shot2024.030.745—————————
PatchCoreSetup=2-shot2024.030.739—————————
WinCLIPSetup=0-shot2024.030.733—————————
PatchCoreSetup=4-shot2024.030.733—————————
SPADESetup=2-shot2024.030.727—————————
WinCLIPSetup=2-shot2024.030.726—————————
CoOpSetup=4-shot2024.030.72—————————
SPADESetup=4-shot2024.030.718—————————
SPADESetup=8-shot2024.030.708—————————
DRAtraining_anomaly_examples=1, anomaly_classes=122022.030.692—————————
CoOpSetup=2-shot2024.030.687—————————
DeepSADC (number of anomaly classes)=12, Training setting=ten random anomaly examples2022.030.686—————————
DRAtraining_anomaly_examples=1, known_anomaly_class=Mean2022.030.684—————————
DevNetOpen-set setting=true2021.080.6830.6580.5850.7090.7340.810.599———
SAOEtraining_anomaly_examples=1, anomaly_classes=122022.030.675—————————
FLOSOpen-set setting=true2021.080.6350.5850.5480.7450.550.7460.636———
MINNSOpen-set setting=true2021.080.6320.7080.5650.7340.5340.7070.544———
RegADSetup=8-shot2024.030.603—————————
DevNettraining_anomaly_examples=1, anomaly_classes=122022.030.598—————————
RegADSetup=4-shot2024.030.596—————————
KDADOpen-set setting=true2021.080.580.5520.7050.5670.5590.5660.529———
KDADtraining_protocol=Unsupervised, known_anomaly_class=Mean2022.030.58—————————
KDADtraining_anomaly_examples=Unsupervised, anomaly_classes=122022.030.576—————————
MLEPtraining_anomaly_examples=1, anomaly_classes=122022.030.564—————————
RegADSetup=2-shot2024.030.564—————————
DeepSADOpen-set setting=true2021.080.5570.4420.6140.5230.5180.7330.51———
FLOStraining_anomaly_examples=1, anomaly_classes=122022.030.538—————————
AHLNumber of training anomaly examples=102025.02———————0.925——
AHLNumber of training anomaly examples=12025.02———————0.734——
AHLFew-shot setup=A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7070.763
AHLFew-shot setup=A4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7510.788
DevNetNumber of training anomaly examples=102025.02———————0.887——
DevNetNumber of training anomaly examples=12025.02———————0.598——
DPDLNumber of training anomaly examples=102025.02———————0.975——
DPDLNumber of training anomaly examples=12025.02———————0.838——
DRANumber of training anomaly examples=102025.02———————0.893——
DRANumber of training anomaly examples=12025.02———————0.692——
DRAFew-shot setup=A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7230.753
DRAFew-shot setup=A4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7570.778
FLOSNumber of training anomaly examples=102025.02———————0.841——
FLOSNumber of training anomaly examples=12025.02———————0.538——
FoundADFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7140.804
FoundADFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7230.814
FoundADFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7320.828
FoundADFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7430.83
IDEALFew-shot setup=N1A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7580.827
IDEALFew-shot setup=N2A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7760.853
IDEALFew-shot setup=N4A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7950.861
IDEALFew-shot setup=N8A4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.8390.868
InCTRLFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7490.783
InCTRLFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7520.787
InCTRLFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7560.804
InCTRLFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7590.806
MLEPNumber of training anomaly examples=102025.02———————0.867——
MLEPNumber of training anomaly examples=12025.02———————0.564——
NAGLFew-shot setup=N1A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7160.755
NAGLFew-shot setup=N2A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7350.798
NAGLFew-shot setup=N4A1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7560.809
NAGLFew-shot setup=N8A4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.8050.823
PromptADFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7190.814
PromptADFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7380.818
PromptADFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7410.834
PromptADFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7440.847
RegADFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.720.802
RegADFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7350.82
RegADFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7460.837
RegADFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7580.839
ResADFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7050.727
ResADFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.750.751
ResADFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7520.767
ResADFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7540.793
SAOENumber of training anomaly examples=102025.02———————0.874——
SAOENumber of training anomaly examples=12025.02———————0.675——
WinCLIPFew-shot setup=N1, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7310.789
WinCLIPFew-shot setup=N2, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7350.793
WinCLIPFew-shot setup=N4, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7380.795
WinCLIPFew-shot setup=N8, Backbone=ViT-S/14, Resolution=448 x 4482026.05————————0.7480.805