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Anomaly Detection 벤치마크

Anomaly Detection on AeBAD-S

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Detection AUROC

40 51.77 63.55 75.32 87.1 2020-10 2026-09 RIAD — 40.0 (2020-10-17) DRAEM — 62.5 (2021-01-01) InTra — 44.2 (2021-04-28) PatchCore — 71.0 (2021-06-15) NSA — 56.7 (2021-09-30) ReverseDistillation — 81.0 (2022-01-26) MMR — 84.7 (2023-04-05) MSFR — 87.1 (2024-10-23) RIAD — 40.0 (2020-10-17) DRAEM — 62.5 (2021-01-01) PatchCore — 71.0 (2021-06-15) ReverseDistillation — 81.0 (2022-01-26) MMR — 84.7 (2023-04-05) MSFR — 87.1 (2024-10-23)
RankModel Detection AUROCSegmentation AUPRO PaperCodeYear
1 MSFR 87.190.4 Multi-scale feature reconstruction network for industrial anomaly detection Ehteshamciitwah/MSFR 2024
2 MMR 84.789.1 Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction zhangzilongc/MMR 2023
3 ReverseDistillation 81.085.6 Anomaly Detection via Reverse Distillation from One-Class Embedding openvinotoolkit/anomalib · hq-deng/RD4AD · SimonThomine/RememberingNormality · +2 2022
4 PatchCore 71.087.8 Towards Total Recall in Industrial Anomaly Detection openvinotoolkit/anomalib · amazon-science/patchcore-inspection · amazon-research/patchcore-inspection · +15 2021
5 DRAEM 62.563.6 DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection vitjanz/draem · farazBhatti/DRAEM-Tensoflow 2021
6 NSA 56.745.9 Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization hmsch/natural-synthetic-anomalies · matt-baugh/nnood · SimonThomine/MixedTeacher 2021
7 InTra 44.274.7 Inpainting Transformer for Anomaly Detection jhy12/inpainting-transformer · uzl/inpainting-transformer 2021
8 RIAD 40.058.2 Reconstruction by Inpainting for Visual Anomaly Detection taikiinoue45/RIAD · YeongHyeon/RIAD-PyTorch 2020
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