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/STRM

STRM

Reported on 8 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.

Robots4 results

  • Activity RecognitiononHMDB51
    1:1 Accuracy· 2021-12-09
    77.3
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Activity RecognitiononUCF101
    1:1 Accuracy· uses extra data· 2021-12-09
    96.8
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Activity RecognitiononSomething-Something-100
    1:1 Accuracy· 2021-12-09
    68.1
    best: 69 (HyRSM)
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Activity RecognitiononKinetics-100
    Accuracy· 2021-12-09
    86.7
    best: 94.7 (Name Tuning)
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132

Time Series4 results

  • Action RecognitiononHMDB51
    1:1 Accuracy· 2021-12-09
    77.3
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Action RecognitiononUCF101
    1:1 Accuracy· uses extra data· 2021-12-09
    96.8
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Action RecognitiononSomething-Something-100
    1:1 Accuracy· 2021-12-09
    68.1
    best: 69 (HyRSM)
    SOTA
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132
  • Action RecognitiononKinetics-100
    Accuracy· 2021-12-09
    86.7
    best: 94.7 (Name Tuning)
    Spatio-temporal Relation Modeling for Few-shot Action RecognitionarXiv:2112.05132