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Models/F-PointNet [Qi:2018fd]

F-PointNet [Qi:2018fd]

Reported on 54 benchmarks across 6 tasks · 1 paper · 18 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· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cars Hard val
AP· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cars Hard val
AP· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cars Hard val
AP· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488

Computer Vision18 results

Object DetectiononKITTI Cars Hard val
AP· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cars Hard val
AP· 2017-11-22
62.56
best: 82.85 (M3DeTR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cars Moderate val
AP· 2017-11-22
69.28
best: 86.83 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cars Easy val
AP· 2017-11-22
83.26
best: 95.45 (SA-SSD+EBM)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cyclist Moderate val
AP· 2017-11-22
55.95
best: 71.7 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cyclist Easy val
AP· 2017-11-22
74.54
best: 89.13 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Cyclist Hard val
AP· 2017-11-22
52.65
best: 68.29 (M3DeTR)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Pedestrian Moderate val
AP· 2017-11-22
55.85
best: 64.71 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Pedestrian Hard val
AP· 2017-11-22
49.28
best: 56.78 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononKITTI Pedestrian Easy val
AP· 2017-11-22
65.08
best: 73.2 (PVCNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488