Anomaly Detection

Best model: Brainomaly

Best model: MSFR

Best model: MMR

Best model: DATE

Best model: Shell-based Anomaly (supervisered)

Best model: DFC

Best model: MuSc (zero-shot)

Best model: Self-Supervised One-class SVM, RBF kernel

Best model: DevNet

Best model: MULDE-object-centric-micro

Best model: Two-stream

Best model: Self-Supervised One-class SVM, RBF kernel

Best model: RPL+CoroCL

Best model: cDNP+OE

Best model: AttentDifferNet (SENet-AlexNet)

Best model: PCA via oversampling

Best model: SAA+

Best model: CCD

Best model: BCE-CLIP (OE)

Best model: OGNET

Best model: GLASS

Best model: CDO

Best model: GLASS

Best model: FABLE

Best model: CSAD

Best model: DIF

Best model: HTM AL

Best model: kNN

Best model: CLIP (OE)

Best model: GeneralAD

Best model: CSI

Best model: SplatPose

Best model: MPED-RNN

Best model: Reg 3D-AD

Best model: RbA

Best model: DAC(STG-NF + Jigsaw)

Best model: TSGAD

Best model: MAAT

Best model: Shell-based Anomaly (supervised)

Best model: PGM

Best model: HETMM

Best model: RCALAD

Best model: RCALAD

Best model: STG-NF - Supervised

Best model: Auto-Encoder with Regression (AER)

Best model: DMAD

Best model: SINBAD

Best model: CSI

Best model: Random Forest

Best model: GLAD

Best model: MVT-Flow

Best model: GLASS