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Anomaly Detection 벤치마크

Anomaly Detection on InsPLAD

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Detection AUROC

90.07 91.14 92.2 93.27 94.34 2020-08 2026-09 DifferNet — 92.46 (2020-08-28) RD++ (ResNet-18) — 90.07 (2023-01-01) AttentDifferNet (SENet-AlexNet) — 94.34 (2023-11-05) RD++ (CBAM-ResNet-18) — 90.75 (2023-11-05) RD++ (SENet-ResNet-18) — 90.32 (2023-11-05) DifferNet — 92.46 (2020-08-28) AttentDifferNet (SENet-AlexNet) — 94.34 (2023-11-05)
RankModel Detection AUROC PaperCodeYear
1 AttentDifferNet (SENet-AlexNet) 94.34 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study andreluizbvs/insplad 2023
2 DifferNet 92.46 Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows marco-rudolph/differnet · kuangzijian/Computer-Vision-and-Normalizing-Flow-Based-Defect-Detection · MattSkiff/cow_flow 2020
3 RD++ (CBAM-ResNet-18) 90.75 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study andreluizbvs/insplad 2023
4 RD++ (SENet-ResNet-18) 90.32 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study andreluizbvs/insplad 2023
5 RD++ (ResNet-18) 90.07 Revisiting Reverse Distillation for Anomaly Detection tientrandinh/revisiting-reverse-distillation 2023
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