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ResearchFormerly WizWand

Industrial Anomaly Detection on MPDD (test)

80.23AccuracyGLLS
40.262850.638961.01571.3911Jul 4, 2026
Updated 4mo ago

Evaluation results

MethodLinks
GLLSBackbone=Qwen3-VL, Scale=8B, Shots=1-shot2026.0780.23
GLLSBackbone=Qwen3-VL, Scale=4B, Shots=1-shot2026.0778.45
GLLSBackbone=Qwen3-VL, Scale=8B, Shots=0-shot2026.0775.41
GLLSBackbone=Qwen2.5-VL, Scale=7B, Shots=1-shot2026.0773.1
AD-FMScale=7B, Backbone=Qwen2.5-VL2026.0772.71
GLLSBackbone=Qwen3-VL, Scale=4B, Shots=0-shot2026.0772.34
AdaptCLIPThresholding Strategy=Youden’s J statistic2026.0772.16
WinClipThresholding Strategy=τ = 0.52026.0772.1
GLLSBackbone=Qwen2.5-VL, Scale=7B, Shots=0-shot2026.0771.56
IAD-R1Scale=7B, Backbone=LLaVA-OV2026.0770.9
InternVL3Scale=8B2026.0770.74
GPT4o2026.0769.43
InternVL3Scale=38B2026.0769.43
Qwen2.5-VLScale=7B2026.0768.34
AnomalyClipThresholding Strategy=Youden’s J statistic2026.0768.23
GPT4o-mini2026.0767.9
GPT-4.12026.0766.81
InternVL2Scale=76B2026.0766.38
AdaptCLIPThresholding Strategy=τ = 0.52026.0763.98
LLaVA-NeXTScale=34B2026.0761.57
AnomalyClipThresholding Strategy=τ = 0.52026.0756.49
WinClipThresholding Strategy=Youden’s J statistic2026.0741.8