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Models/Late Fusion (PointPillar backbone)

Late Fusion (PointPillar backbone)

Reported on 12 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.

Methodology8 results

  • 3DonOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 3DonOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 2D ClassificationonOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 2D ClassificationonOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 2D Object DetectiononOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 2D Object DetectiononOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 16konOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 16konOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644

Computer Vision4 results

  • Object DetectiononOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • Object DetectiononOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 3D Object DetectiononOPV2V
    AP@0.7@CulverCity· 2021-09-16
    0.669
    best: 0.735 (Attentive Fusion (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644
  • 3D Object DetectiononOPV2V
    AP@0.7@Default· 2021-09-16
    0.781
    best: 0.822 (V2VNet (PointPillar backbone))
    OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationarXiv:2109.07644