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Anomaly Severity Classification (Anomaly vs. Defect) 벤치마크

Anomaly Severity Classification (Anomaly vs. Defect) on MVTec-AC

3개 결과 · ⬇ CSV · JSON

Accuracy (% )

89.8 90.05 90.3 90.55 90.8 2025-05 2026-09 VELM — 89.8 (2025-05-05) VELM — 89.8 (2025-05-05) VELM — 89.8 (2025-05-05) VELM — 89.8 (2025-05-05)
RankModel Accuracy (% ) PaperCodeYear
1 VELM 89.8 Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models sassanmtr/velm 2025
1 VELM 89.8 Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models sassanmtr/velm 2025
1 VELM 89.8 Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models sassanmtr/velm 2025
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