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Industrial Anomaly Detection on DAGM (test)

97.48AccuracyGLLS
19.178439.506759.83580.1633Jul 4, 2026

Evaluation results

MethodLinks
GLLSBackbone=Qwen3-VL, Scale=8B, Shots=1-shot2026.0797.48
GLLSBackbone=Qwen3-VL, Scale=8B, Shots=0-shot2026.0797.15
GLLSBackbone=Qwen3-VL, Scale=4B, Shots=1-shot2026.0796.65
GLLSBackbone=Qwen3-VL, Scale=4B, Shots=0-shot2026.0796.32
GLLSBackbone=Qwen2.5-VL, Scale=7B, Shots=1-shot2026.0796.12
AD-FMScale=7B, Backbone=Qwen2.5-VL2026.0795.51
GLLSBackbone=Qwen2.5-VL, Scale=7B, Shots=0-shot2026.0795.43
AnomalyClipThresholding Strategy=Youden’s J statistic2026.0795.36
Qwen2.5-VLScale=7B2026.0794.83
IAD-R1Scale=7B, Backbone=LLaVA-OV2026.0794.8
InternVL2Scale=76B2026.0794.52
AdaptCLIPThresholding Strategy=Youden’s J statistic2026.0794.37
GPT4o-mini2026.0790.8
GPT4o2026.0790.17
GPT-4.12026.0789.93
InternVL3Scale=38B2026.0789.87
WinClipThresholding Strategy=Youden’s J statistic2026.0788.9
WinClipThresholding Strategy=τ = 0.52026.0786.9
AdaptCLIPThresholding Strategy=τ = 0.52026.0782.17
InternVL3Scale=8B2026.0781.33
LLaVA-NeXTScale=34B2026.0723.15
AnomalyClipThresholding Strategy=τ = 0.52026.0722.19