TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/WeakREST-Un

WeakREST-Un

Reported on 15 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

  • Anomaly DetectiononKolektorSDD2
    Segmentation AP· uses extra data· 2023-06-06
    76.9
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononKolektorSDD2
    Segmentation AUPRO· uses extra data· 2023-06-06
    98.5
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononKolektorSDD2
    Segmentation AUROC· uses extra data· 2023-06-06
    99.7
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononBTAD
    Detection AUROC· uses extra data· 2023-06-06
    94.4
    best: 98.3 (CPR)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononBTAD
    Segmentation AP· uses extra data· 2023-06-06
    63.1
    best: 84.6 (WeakREST-Block)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononBTAD
    Segmentation AUPRO· uses extra data· 2023-06-06
    84.9
    best: 97.5 (ReConPatch WRN-50)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononBTAD
    Segmentation AUROC· uses extra data· 2023-06-06
    98.7
    best: 99.3 (WeakREST-Block)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononMVTec AD
    Detection AUROC· 2023-06-06
    99.6
    best: 99.9 (GLASS)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononMVTec AD
    FPS· 2023-06-06
    25.2
    best: 1016 (CPR-faster(TensorRT))
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononMVTec AD
    Segmentation AP· 2023-06-06
    83
    best: 87.6 (WeakREST-Block)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononMVTec AD
    Segmentation AUPRO· 2023-06-06
    97.6
    best: 98.4 (WeakREST-Block)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Anomaly DetectiononMVTec AD
    Segmentation AUROC· 2023-06-06
    99.3
    best: 99.7 (WeakREST-Block)
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492

Graphs3 results

  • Unsupervised Anomaly DetectiononKolektorSDD2
    Segmentation AP· uses extra data· 2023-06-06
    76.9
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Unsupervised Anomaly DetectiononKolektorSDD2
    Segmentation AUPRO· uses extra data· 2023-06-06
    98.5
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492
  • Unsupervised Anomaly DetectiononKolektorSDD2
    Segmentation AUROC· uses extra data· 2023-06-06
    99.7
    SOTA
    Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual TransformersarXiv:2306.03492