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Models/PolarNet

PolarNet

Reported on 7 benchmarks across 2 tasks · 2 papers · 4 SOTA

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

Robots6 results

  • Robot ManipulationonRLBench
    Succ. Rate (10 tasks, 100 demos/task)· 2023-09-27
    89.8
    SOTA
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596
  • Robot ManipulationonRLBench
    Succ. Rate (74 tasks, 100 demos/task)· 2023-09-27
    60.3
    SOTA
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596
  • Robot ManipulationonGEMBench
    Average Success Rate· 2023-09-27
    38.4
    best: 48 (3D-LOTUS++)
    SOTA
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596
  • Robot ManipulationonRLBench
    Input Image Size· 2023-09-27
    128
    best: 256 (EquAct)
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596
  • Robot ManipulationonRLBench
    Succ. Rate (18 tasks, 100 demo/task)· 2023-09-27
    46.4
    best: 89.4 (EquAct)
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596
  • Robot ManipulationonRLBench
    Training Time (V100 x 8 x day)· 2023-09-27
    5
    best: 16 (PerAct (Evaluated in RVT))
    PolarNet: 3D Point Clouds for Language-Guided Robotic ManipulationarXiv:2309.15596

Computer Vision1 result

  • LIDAR Semantic SegmentationonnuScenes
    test mIoU· 2020-03-31
    0.69
    best: 0.851 (DITR)
    SOTA
    PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationarXiv:2003.14032