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Models/PV-RCNN++

PV-RCNN++

Reported on 24 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Methodology16 results

3DonKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3DonWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D ClassificationonKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D ClassificationonWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D Object DetectiononKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D Object DetectiononWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
16konKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
16konWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3DonKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3DonKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D ClassificationonKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D ClassificationonKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D Object DetectiononKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
2D Object DetectiononKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
16konKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
16konKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463

Computer Vision8 results

Object DetectiononKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
Object DetectiononWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3D Object DetectiononKITTI Cars Hard val
AP· 2021-01-31
82.69
best: 82.85 (M3DeTR)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3D Object DetectiononWaymo Open Dataset
mAPH/L2· 2021-01-31
69.5
best: 74 (LION)
SOTA
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
Object DetectiononKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
Object DetectiononKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3D Object DetectiononKITTI Cars Moderate val
AP· 2021-01-31
84.83
best: 86.83 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463
3D Object DetectiononKITTI Cars Easy val
AP· 2021-01-31
92.57
best: 95.45 (SA-SSD+EBM)
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection arXiv:2102.00463