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Models/PVCNN

PVCNN

Reported on 54 benchmarks across 6 tasks · 1 paper · 54 SOTA

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

Methodology36 results

3DonKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3DonKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D ClassificationonKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
2D Object DetectiononKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
16konKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739

Computer Vision18 results

Object DetectiononKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
Object DetectiononKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cars Hard val
AP· 2019-07-08
63.81
best: 82.85 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cyclist Moderate val
AP· 2019-07-08
59.97
best: 71.7 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cyclist Easy val
AP· 2019-07-08
81.4
best: 89.13 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cyclist Hard val
AP· 2019-07-08
56.24
best: 68.29 (M3DeTR)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Pedestrian Moderate val
AP· 2019-07-08
64.71
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Pedestrian Hard val
AP· 2019-07-08
56.78
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cars Moderate val
AP· 2019-07-08
71.54
best: 86.83 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Pedestrian Easy val
AP· 2019-07-08
73.2
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739
3D Object DetectiononKITTI Cars Easy val
AP· 2019-07-08
84.02
best: 95.45 (SA-SSD+EBM)
SOTA
Point-Voxel CNN for Efficient 3D Deep Learning arXiv:1907.03739