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Models/F-PointNet

F-PointNet

Reported on 17 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.

Methodology12 results

3DonSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3DonKITTI Cars Hard
AP· 2017-11-22
62.19
best: 77.06 (Voxel R-CNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonKITTI Cars Hard
AP· 2017-11-22
62.19
best: 77.06 (Voxel R-CNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononKITTI Cars Hard
AP· 2017-11-22
62.19
best: 77.06 (Voxel R-CNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konKITTI Cars Hard
AP· 2017-11-22
62.19
best: 77.06 (Voxel R-CNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488

Computer Vision5 results

Object DetectiononSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononSUN-RGBD val
Inference Speed (s)· 2017-11-22
0.12
best: 0.048 (Frustum VoxNet (YOLO v3+3D ResNetFCN6))
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononSUN-RGBD val
mAP@0.25· 2017-11-22
54
best: 69.7 (Point-GCC+TR3D+FF)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
Object DetectiononKITTI Cars Hard
AP· 2017-11-22
62.19
best: 77.06 (Voxel R-CNN)
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488