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Models/PV-RCNN

PV-RCNN

Reported on 70 benchmarks across 7 tasks · 3 papers · 69 SOTA

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

Methodology44 results

  • 3DonLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3DonClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3DonHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D ClassificationonLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D ClassificationonClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D ClassificationonHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D Object DetectiononLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D Object DetectiononClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 2D Object DetectiononHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 16konLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 16konClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 16konHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3DonDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3DonDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3DonDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3DonDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D ClassificationonDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D ClassificationonDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D ClassificationonDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D ClassificationonDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D Object DetectiononDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D Object DetectiononDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D Object DetectiononDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 2D Object DetectiononDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 16konDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 16konDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 16konDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 16konDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3Donwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3Donwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3Donwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3Donwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Classificationonwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Classificationonwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Classificationonwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Classificationonwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Object Detectiononwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Object Detectiononwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Object Detectiononwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 2D Object Detectiononwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 16konwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 16konwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 16konwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 16konwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192

Computer Vision26 results

  • Object DetectiononLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • Object DetectiononClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • Object DetectiononHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3D Object DetectiononLight Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3D Object DetectiononClear Weather
    mod. Car AP@.7IoU· 2022-03-28
    45.71
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • 3D Object DetectiononHeavy Snowfall
    mod. Car AP@.7IoU· 2022-03-28
    41.79
    SOTA
    LiDAR Snowfall Simulation for Robust 3D Object DetectionarXiv:2203.15118
  • Object DetectiononDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • Object DetectiononDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • Object DetectiononDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • Object DetectiononDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3D Object DetectiononDense Fog
    mod. Car AP@.5IoU· 2021-08-11
    47.38
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3D Object DetectiononDense Fog
    mod. Cyclist AP@.25IoU· 2021-08-11
    27.89
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3D Object DetectiononDense Fog
    mod. Pedestrian AP@.25IoU· 2021-08-11
    40.65
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • 3D Object DetectiononDense Fog
    mod. mAP· 2021-08-11
    38.64
    SOTA
    Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherarXiv:2108.05249
  • Object Detectiononwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Object Detectiononwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Object Detectiononwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Object Detectiononwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Birds Eye View Object DetectiononKITTI Cyclists Easy
    AP· 2019-12-31
    82.49
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Birds Eye View Object DetectiononKITTI Cars Easy
    AP· 2019-12-31
    94.98
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Birds Eye View Object DetectiononKITTI Cyclists Hard
    AP· 2019-12-31
    62.41
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3D Object Detectiononwaymo all_ns
    APH/L2· 2019-12-31
    71.52
    best: 71.93 (CenterPoint)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3D Object Detectiononwaymo cyclist
    APH/L2· 2019-12-31
    71.16
    best: 78 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3D Object Detectiononwaymo vehicle
    APH/L2· 2019-12-31
    73.23
    best: 75.76 (PillarNeXt)
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • 3D Object Detectiononwaymo pedestrian
    APH/L2· 2019-12-31
    70.16
    best: 76.4 (DSVT(val))
    SOTA
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192
  • Birds Eye View Object DetectiononKITTI Cars Hard
    AP· 2019-12-31
    86.14
    best: 86.89 (STD)
    PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionarXiv:1912.13192