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Models/TO+MaxExp+IDT

TO+MaxExp+IDT

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Computer Vision3 results

  • Scene ParsingonYUP++
    Accuracy (%)· uses extra data· 2021-10-11
    93.1
    best: 94.4 (DEEP-HAL with ODF+SDF (I3D))
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216
  • AnimationonYUP++
    Accuracy (%)· uses extra data· 2021-10-11
    93.1
    best: 94.4 (DEEP-HAL with ODF+SDF (I3D))
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216
  • 3D Character Animation From A Single PhotoonYUP++
    Accuracy (%)· uses extra data· 2021-10-11
    93.1
    best: 94.4 (DEEP-HAL with ODF+SDF (I3D))
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216

Robots1 result

  • Activity RecognitiononHMDB-51
    Average accuracy of 3 splits· uses extra data· 2021-10-11
    87.21
    best: 88.7 (VideoMAE V2-g)
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216

Time Series1 result

  • Action RecognitiononHMDB-51
    Average accuracy of 3 splits· uses extra data· 2021-10-11
    87.21
    best: 88.7 (VideoMAE V2-g)
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216

Audio1 result

  • 2D Semantic SegmentationonYUP++
    Accuracy (%)· uses extra data· 2021-10-11
    93.1
    best: 94.4 (DEEP-HAL with ODF+SDF (I3D))
    High-order Tensor Pooling with Attention for Action RecognitionarXiv:2110.05216