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Image-level Anomaly Detection on MAD-Sim (test)

0.939AUROCSplatPose
0.567720.664110.76050.85689Apr 10, 2024

Evaluation results

MethodLinks
SplatPoseapproach=3D Object-based, methodology_type=View Synthesis2024.040.939
OmniADapproach=3D Object-based, methodology_type=View Synthesis2024.040.909
PatchCoreapproach=2D Image-based without Poses, methodology_type=Memory Banks2024.040.785
ASTapproach=2D Image-based without Poses, methodology_type=Student-Teacher2024.040.714
CFlowapproach=2D Image-based without Poses, methodology_type=Normal. Flow2024.040.713
SimpleNetapproach=2D Image-based without Poses, methodology_type=Synthetic2024.040.688
CFAapproach=2D Image-based without Poses, methodology_type=Memory Banks2024.040.684
CS-Flowapproach=2D Image-based without Poses, methodology_type=Normal. Flow2024.040.657
Mahal.approach=2D Image-based without Poses, methodology_type=Feature Emb.2024.040.651
RD4ADapproach=2D Image-based without Poses, methodology_type=Student-Teacher2024.040.634
DRÆMapproach=2D Image-based without Poses, methodology_type=Synthetic2024.040.609
STFPMapproach=2D Image-based without Poses, methodology_type=Student-Teacher2024.040.595
PaDiMapproach=2D Image-based without Poses, methodology_type=Feature Emb.2024.040.582