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Models/Li et al. [[Li et al.2017b]]

Li et al. [[Li et al.2017b]]

Reported on 16 benchmarks across 8 tasks · 1 paper · 16 SOTA

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

Computer Vision6 results

  • VideoonPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • VideoonPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Temporal Action LocalizationonPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Temporal Action LocalizationonPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Action LocalizationonPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Action LocalizationonPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595

Time Series4 results

  • Action DetectiononPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Action DetectiononPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Action RecognitiononPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Action RecognitiononPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595

Methodology2 results

  • Zero-Shot LearningonPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Zero-Shot LearningonPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595

Robots2 results

  • Activity RecognitiononPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • Activity RecognitiononPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595

Natural Language Processing2 results

  • 3D Action RecognitiononPKU-MMD
    mAP@0.50 (CS)· 2017-04-25
    90.4
    best: 92.9 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595
  • 3D Action RecognitiononPKU-MMD
    mAP@0.50 (CV)· 2017-04-25
    93.7
    best: 94.4 (RF-Action)
    SOTA
    Skeleton-based Action Recognition with Convolutional Neural NetworksarXiv:1704.07595