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Anomaly Detection on Mastcam

0.934AUC (Overall)DPDL
0.526320.632160.7380.84384Mar 28, 2022Sep 22, 2022Mar 19, 2023Sep 13, 2023Mar 9, 2024Sep 3, 2024Feb 28, 2025

Evaluation results

MethodLinks
DPDLNumber of training anomaly examples=102025.020.934——————————
AHLNumber of training anomaly examples=102025.020.855——————————
DRAtraining_anomaly_examples=10, anomaly_classes=112022.030.848——————————
DRANumber of training anomaly examples=102025.020.848——————————
DPDLNumber of training anomaly examples=12025.020.838——————————
SAOENumber of training anomaly examples=102025.020.81——————————
MLEPNumber of training anomaly examples=102025.020.798——————————
DevNetNumber of training anomaly examples=102025.020.79——————————
AHLNumber of training anomaly examples=12025.020.743——————————
FLOSNumber of training anomaly examples=102025.020.703——————————
DRAtraining_anomaly_examples=10, known_anomaly_class=Mean2022.030.695——————————
DRAtraining_anomaly_examples=1, anomaly_classes=112022.030.692——————————
DRANumber of training anomaly examples=12025.020.692——————————
DRAtraining_anomaly_examples=1, known_anomaly_class=Mean2022.030.667——————————
SAOENumber of training anomaly examples=12025.020.662——————————
KDADtraining_protocol=Unsupervised, known_anomaly_class=Mean2022.030.644——————————
KDADtraining_anomaly_examples=Unsupervised, anomaly_classes=112022.030.642——————————
MLEPNumber of training anomaly examples=12025.020.625——————————
DevNetNumber of training anomaly examples=12025.020.595——————————
FLOSNumber of training anomaly examples=12025.020.542——————————
DeepSADOpen-set setting=true2021.08—0.4740.4970.4940.5860.5650.4080.4890.5020.5420.506
DeepSADC (number of anomaly classes)=11, Training setting=ten random anomaly examples2022.03——————————0.707
DevNetOpen-set setting=true2021.08—0.550.5470.5830.6210.7050.6150.5540.5280.5890.588
DRAC (number of anomaly classes)=11, Training setting=ten random anomaly examples2022.03——————————0.848
FLOSOpen-set setting=true2021.08—0.4990.6080.6010.6520.70.7360.5680.5750.6080.616
KDADOpen-set setting=true2021.08—0.6380.590.630.7110.6970.6320.6340.6380.6210.644
MINNSOpen-set setting=true2021.08—0.4190.6870.6510.7050.6970.6350.5510.5020.5770.603
MINNSC (number of anomaly classes)=11, Training setting=ten random anomaly examples2022.03——————————0.803