Anomaly Detection on ADBench Low Dimensionality, d ≤ 20 (24 datasets) benchmark leaderboard · SOTA2 Research

Anomaly Detection on ADBench Low Dimensionality, d ≤ 20 (24 datasets)

90.14ROC-AUCFoMo-0D

Evaluation Results

Method	Links
FoMo-0D2026.04		90.14	74.45
kNN2026.04		89.48	71.42
DTE-NP2026.04		89.33	71.37
DDPM2026.04		87.73	66.24
LOF2026.04		86.15	60.95
CBLOF2026.04		86.12	—
uLEAD-TabPFN2026.04		85.51	62.67
ICL2026.04		85.03	65.63
SLAD2026.04		84.64	61.79
FeatBag2026.04		82.63	—
DDAE2026.04		—	73.02
OCSVM2026.04		—	62.47