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/LVAD

LVAD

Reported on 37 benchmarks across 7 tasks

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

Computer Vision25 results

  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonCats and Dogs
    AUC-ROC
    0.851
    best: 0.953 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyoncifar10
    AUC-ROC
    0.854
    best: 0.896 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonMNIST
    AUC-ROC
    0.923
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonFashion-MNIST
    AUC-ROC
    0.884
    best: 0.889 (IF)
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonSTL-10
    AUC-ROC
    0.983
    best: 0.999 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonASSIRA Cat Vs Dog
    AUC-ROC
    0.78
    best: 0.846 (DAGMM)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonSTL-10
    AUC-ROC
    0.977
    best: 0.999 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonCIFAR-10
    AUC-ROC
    0.816
    best: 0.894 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonFashion-MNIST
    AUC-ROC
    0.868
    best: 0.889 (IF)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonMNIST
    AUC-ROC
    0.904
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonSTL-10
    AUC-ROC
    0.993
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonMNIST
    AUC-ROC
    0.948
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonCIFAR-10
    AUC-ROC
    0.94
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonCats and Dogs
    AUC-ROC
    0.978
    best: 0.981 (RSRAE)
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonFashion-MNIST
    AUC-ROC
    0.909
    best: 0.917 (Isolation Forest)
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonMNIST
    AUC-ROC
    0.974
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonSTL-10
    AUC-ROC
    0.998
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonCIFAR-10
    AUC-ROC
    0.93
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonCats and Dogs
    AUC-ROC
    0.981
    best: 0.982 (RSRAE)
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonFashion-MNIST
    AUC-ROC
    0.896
    best: 0.908 (Isolation Forest)
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonFashion-MNIST
    AUC-ROC
    0.899
    best: 0.915 (IF)
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonCIFAR-10
    AUC-ROC
    0.903
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonMNIST
    AUC-ROC
    0.938
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonSTL-10
    AUC-ROC
    0.979
    best: 0.997 (Shell-Renormalized)
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonCats and Dogs
    AUC-ROC
    0.927
    best: 0.996 (Shell-Renormalized)

Methodology7 results

  • Anomaly DetectiononSTL-10
    AUC-ROC
    0.996
    best: 0.999 (Shell-Renormalized)
  • Anomaly DetectiononMNIST
    AUROC
    0.937
  • Anomaly DetectiononASSIRA Cat Vs Dog
    AUC-ROC
    0.78
    best: 0.846 (DAGMM)
  • Anomaly DetectiononSTL-10
    AUC-ROC
    0.977
    best: 0.999 (Shell-Renormalized)
  • Anomaly DetectiononCIFAR-10
    AUC-ROC
    0.816
    best: 0.894 (Shell-Renormalized)
  • Anomaly DetectiononFashion-MNIST
    AUC-ROC
    0.868
    best: 0.889 (IF)
  • Anomaly DetectiononMNIST
    AUC-ROC
    0.904

Graphs7 results

  • Unsupervised Anomaly DetectiononSTL-10
    AUC-ROC
    0.996
    best: 0.999 (Shell-Renormalized)
  • Unsupervised Anomaly DetectiononMNIST
    AUROC
    0.937
  • Unsupervised Anomaly DetectiononASSIRA Cat Vs Dog
    AUC-ROC
    0.78
    best: 0.846 (DAGMM)
  • Unsupervised Anomaly DetectiononSTL-10
    AUC-ROC
    0.977
    best: 0.999 (Shell-Renormalized)
  • Unsupervised Anomaly DetectiononCIFAR-10
    AUC-ROC
    0.816
    best: 0.894 (Shell-Renormalized)
  • Unsupervised Anomaly DetectiononFashion-MNIST
    AUC-ROC
    0.868
    best: 0.889 (IF)
  • Unsupervised Anomaly DetectiononMNIST
    AUC-ROC
    0.904