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Models/MTN

MTN

Reported on 27 benchmarks across 5 tasks · 1 paper · 3 SOTA

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

Robots16 results

  • Autonomous VehiclesonArgoverse CVPR 2020
    DAC (K=6)
    0.9815
    best: 0.9931 (lt_cont_k6)
  • Autonomous VehiclesonArgoverse CVPR 2020
    MR (K=1)
    0.6172
    best: 1 (jwlhs104)
  • Autonomous VehiclesonArgoverse CVPR 2020
    MR (K=6)
    0.1592
    best: 0.9893 (WST)
  • Autonomous VehiclesonArgoverse CVPR 2020
    brier-minFDE (K=6)
    2.1039
    best: 26.4057 (WST)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minADE (K=1)
    1.803
    best: 10634487.5868 (ewta)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minADE (K=6)
    0.8779
    best: 155985.7998 (ewta)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minFDE (K=1)
    4.0235
    best: 57.7046 (jwlhs104)
  • Autonomous VehiclesonArgoverse CVPR 2020
    minFDE (K=6)
    1.4095
    best: 25.7113 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    DAC (K=6)
    0.9815
    best: 0.9931 (lt_cont_k6)
  • Autonomous DrivingonArgoverse CVPR 2020
    MR (K=1)
    0.6172
    best: 1 (jwlhs104)
  • Autonomous DrivingonArgoverse CVPR 2020
    MR (K=6)
    0.1592
    best: 0.9893 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    brier-minFDE (K=6)
    2.1039
    best: 26.4057 (WST)
  • Autonomous DrivingonArgoverse CVPR 2020
    minADE (K=1)
    1.803
    best: 10634487.5868 (ewta)
  • Autonomous DrivingonArgoverse CVPR 2020
    minADE (K=6)
    0.8779
    best: 155985.7998 (ewta)
  • Autonomous DrivingonArgoverse CVPR 2020
    minFDE (K=1)
    4.0235
    best: 57.7046 (jwlhs104)
  • Autonomous DrivingonArgoverse CVPR 2020
    minFDE (K=6)
    1.4095
    best: 25.7113 (WST)

Computer Vision8 results

  • Motion ForecastingonArgoverse CVPR 2020
    DAC (K=6)
    0.9815
    best: 0.9931 (lt_cont_k6)
  • Motion ForecastingonArgoverse CVPR 2020
    MR (K=1)
    0.6172
    best: 1 (jwlhs104)
  • Motion ForecastingonArgoverse CVPR 2020
    MR (K=6)
    0.1592
    best: 0.9893 (WST)
  • Motion ForecastingonArgoverse CVPR 2020
    brier-minFDE (K=6)
    2.1039
    best: 26.4057 (WST)
  • Motion ForecastingonArgoverse CVPR 2020
    minADE (K=1)
    1.803
    best: 10634487.5868 (ewta)
  • Motion ForecastingonArgoverse CVPR 2020
    minADE (K=6)
    0.8779
    best: 155985.7998 (ewta)
  • Motion ForecastingonArgoverse CVPR 2020
    minFDE (K=1)
    4.0235
    best: 57.7046 (jwlhs104)
  • Motion ForecastingonArgoverse CVPR 2020
    minFDE (K=6)
    1.4095
    best: 25.7113 (WST)

Speech2 results

  • DialogueonSIMMC2.0
    Act F1· 2019-07-02
    93.4
    best: 97.1 (PaCE)
    SOTA
    Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue SystemsarXiv:1907.01166
  • DialogueonSIMMC2.0
    Slot F1· 2019-07-02
    76.7
    best: 88.3 (BART-large)
    SOTA
    Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue SystemsarXiv:1907.01166

Natural Language Processing1 result

  • Response GenerationonSIMMC2.0
    BLEU· 2019-07-02
    21.7
    best: 34.1 (PaCE)
    SOTA
    Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue SystemsarXiv:1907.01166