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/PANDA

PANDA

Reported on 12 benchmarks across 6 tasks · 3 papers · 9 SOTA

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

Methodology8 results

  • Anomaly DetectiononHyper-Kvasir Dataset
    AUC· 2020-10-12
    0.937
    best: 0.972 (CCD)
    SOTA
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903
  • Anomaly DetectiononFashion-MNIST
    ROC AUC· 2020-10-12
    95.6
    best: 98.6 (GAN based Anomaly Detection in Imbalance Problems)
    SOTA
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903
  • Anomaly DetectiononCats-and-Dogs
    ROC AUC· 2020-10-12
    97.3
    SOTA
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903
  • Anomaly DetectiononLAG
    AUC· 2020-09-16
    0.789
    best: 0.874 (CCD)
    SOTA
    PANDA: Predicting the change in proteins binding affinity upon mutations using sequence informationarXiv:2009.08869
  • 3DonLFWA
    Error Rate· 2013-11-21
    18.97
    best: 12.49 (Label2Label)
    SOTA
    PANDA: Pose Aligned Networks for Deep Attribute ModelingarXiv:1311.5591
  • Anomaly DetectiononOne-class CIFAR-100
    AUROC· uses extra data· 2020-10-12
    94.1
    best: 98.4 (GeneralAD)
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903
  • Anomaly DetectiononOne-class CIFAR-10
    AUROC· 2020-10-12
    96.2
    best: 99.6 (CLIP (OE))
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903
  • Anomaly DetectiononDIOR
    ROC AUC· 2020-10-12
    94.3
    best: 95.9 (PANDA-OE)
    PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationarXiv:2010.05903

Computer Vision2 results

  • Face ReconstructiononLFWA
    Error Rate· 2013-11-21
    18.97
    best: 12.49 (Label2Label)
    SOTA
    PANDA: Pose Aligned Networks for Deep Attribute ModelingarXiv:1311.5591
  • 3D Face ReconstructiononLFWA
    Error Rate· 2013-11-21
    18.97
    best: 12.49 (Label2Label)
    SOTA
    PANDA: Pose Aligned Networks for Deep Attribute ModelingarXiv:1311.5591

Music1 result

  • Facial Recognition and ModellingonLFWA
    Error Rate· 2013-11-21
    18.97
    best: 12.49 (Label2Label)
    SOTA
    PANDA: Pose Aligned Networks for Deep Attribute ModelingarXiv:1311.5591

Medical1 result

  • 3D Face ModellingonLFWA
    Error Rate· 2013-11-21
    18.97
    best: 12.49 (Label2Label)
    SOTA
    PANDA: Pose Aligned Networks for Deep Attribute ModelingarXiv:1311.5591