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/InfoGCN

InfoGCN

Reported on 56 benchmarks across 8 tasks

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

Computer Vision21 results

  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • VideoonNTU RGB+D 120
    Ensembled Modalities
    6
  • VideoonN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • VideoonNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • VideoonNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • VideoonNTU RGB+D
    Ensembled Modalities
    6
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D 120
    Ensembled Modalities
    6
  • Temporal Action LocalizationonN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities
    6
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • Action LocalizationonNTU RGB+D 120
    Ensembled Modalities
    6
  • Action LocalizationonN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities
    6

Time Series14 results

  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • Action DetectiononNTU RGB+D 120
    Ensembled Modalities
    6
  • Action DetectiononN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Action DetectiononNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action DetectiononNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action DetectiononNTU RGB+D
    Ensembled Modalities
    6
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 96.7 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 95.6 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D 120
    Ensembled Modalities
    6
  • Action RecognitiononN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)
    93
    best: 97.4 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)
    97.1
    best: 99.6 (PoseC3D (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities
    6

Methodology7 results

  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • Zero-Shot LearningonNTU RGB+D 120
    Ensembled Modalities
    6
  • Zero-Shot LearningonN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities
    6

Robots7 results

  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 96.7 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 95.6 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D 120
    Ensembled Modalities
    6
  • Activity RecognitiononN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)
    93
    best: 97.4 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)
    97.1
    best: 99.6 (PoseC3D (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities
    6

Natural Language Processing7 results

  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    91.2
    best: 92.2 (ProtoGCN)
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    89.8
    best: 90.9 (ProtoGCN)
  • 3D Action RecognitiononNTU RGB+D 120
    Ensembled Modalities
    6
  • 3D Action RecognitiononN-UCLA
    Accuracy
    97
    best: 99.1 (DSCNet (RGB + Pose))
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)
    93
    best: 94.3 (Hulk(Finetune, ViT-L))
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)
    97.1
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities
    6