Frustum PointNets for 3D Object Detection from RGB-D Data

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
3D Object Detection	KITTI Cars Easy	Frustum PointNets	AP	81.2%	# 21
Object Localization	KITTI Cars Easy	Frustum PointNets	AP	88.7%	# 2
3D Object Detection	KITTI Cars Easy val	F-PointNet [Qi:2018fd]	AP	83.26	# 8
Object Detection	KITTI Cars Hard	F-PointNet	AP	62.19	# 4
Object Localization	KITTI Cars Hard	Frustum PointNets	AP	75.33%	# 2
3D Object Detection	KITTI Cars Hard	Frustum PointNets	AP	62.19%	# 21
3D Object Detection	KITTI Cars Hard val	F-PointNet [Qi:2018fd]	AP	62.56	# 8
Object Localization	KITTI Cars Moderate	Frustum PointNets	AP	84.0%	# 1
3D Object Detection	KITTI Cars Moderate	Frustum PointNets	AP	70.39%	# 28
3D Object Detection	KITTI Cars Moderate val	F-PointNet [Qi:2018fd]	AP	69.28	# 9
3D Object Detection	KITTI Cyclist Easy val	F-PointNet++ [Qi:2018fd]	AP	77.15	# 3
3D Object Detection	KITTI Cyclist Easy val	F-PointNet [Qi:2018fd]	AP	74.54	# 4
3D Object Detection	KITTI Cyclist Hard val	F-PointNet++ [Qi:2018fd]	AP	53.37	# 3
3D Object Detection	KITTI Cyclist Hard val	F-PointNet [Qi:2018fd]	AP	52.65	# 4
3D Object Detection	KITTI Cyclist Moderate val	F-PointNet [Qi:2018fd]	AP	55.95	# 4
3D Object Detection	KITTI Cyclist Moderate val	F-PointNet++ [Qi:2018fd]	AP	56.49	# 3
Object Localization	KITTI Cyclists Easy	Frustum PointNets	AP	75.38%	# 1
3D Object Detection	KITTI Cyclists Easy	Frustum PointNets	AP	71.96%	# 9
3D Object Detection	KITTI Cyclists Hard	Frustum PointNets	AP	50.39%	# 9
Object Localization	KITTI Cyclists Hard	Frustum PointNets	AP	54.68%	# 1
Birds Eye View Object Detection	KITTI Cyclists Moderate	F-PointNet	AP	61.96%	# 4
3D Object Detection	KITTI Cyclists Moderate	Frustum PointNets	AP	56.77%	# 9
Object Localization	KITTI Cyclists Moderate	Frustum PointNets	AP	61.96%	# 1
3D Object Detection	KITTI Pedestrian Easy val	F-PointNet [Qi:2018fd]	AP	65.08	# 4
3D Object Detection	KITTI Pedestrian Easy val	F-PointNet++ [Qi:2018fd]	AP	70.00	# 2
3D Object Detection	KITTI Pedestrian Hard val	F-PointNet++ [Qi:2018fd]	AP	53.59	# 3
3D Object Detection	KITTI Pedestrian Hard val	F-PointNet [Qi:2018fd]	AP	49.28	# 4
3D Object Detection	KITTI Pedestrian Moderate val	F-PointNet++ [Qi:2018fd]	AP	61.32	# 2
3D Object Detection	KITTI Pedestrian Moderate val	F-PointNet [Qi:2018fd]	AP	55.85	# 4
Object Localization	KITTI Pedestrians Easy	Frustum PointNets	AP	58.09%	# 1
3D Object Detection	KITTI Pedestrians Easy	Frustum PointNets	AP	51.21%	# 6
3D Object Detection	KITTI Pedestrians Hard	Frustum PointNets	AP	40.23%	# 6
Object Localization	KITTI Pedestrians Hard	Frustum PointNets	AP	47.2%	# 2
Object Localization	KITTI Pedestrians Moderate	Frustum PointNets	AP	50.22%	# 2
3D Object Detection	KITTI Pedestrians Moderate	Frustum PointNets	AP	42.15%	# 9
Birds Eye View Object Detection	KITTI Pedestrians Moderate	F-PointNet	AP	50.22%	# 5
Object Detection In Indoor Scenes	SUN RGB-D	Frustum Pointnet (RGB)	AP 0.5	56.8	# 2

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