3D on SUN-RGBD val

Metric: Inference Speed (s) (lower is better)

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#	Model↕	Inference Speed (s)▲	Augmentations	Paper	Date↕	Code
1	Frustum VoxNet (YOLO v3+3D ResNetFCN6)	0.048	No	Frustum VoxNet for 3D object detection from RGB-...	2019-10-12	-
2	F-PointNet	0.12	No	Frustum PointNets for 3D Object Detection from R...	2017-11-22	Code
3	Frustum VoxNet (+3D ResNetFCN6)	0.16	No	Frustum VoxNet for 3D object detection from RGB-...	2019-10-12	-
4	Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2)	0.24	No	-	-	-
5	2D-driven	4.15	No	-	-	-
6	DSS	19.55	No	Deep Sliding Shapes for Amodal 3D Object Detecti...	2015-11-07	-

#1Frustum VoxNet (YOLO v3+3D ResNetFCN6)SOTA
0.048
Inference Speed (s)· 2019-10-12
Frustum VoxNet for 3D object detection from RGB-D or Depth images
#2F-PointNetSOTA
0.12
Inference Speed (s)· 2017-11-22
Frustum PointNets for 3D Object Detection from RGB-D Data Code
#3Frustum VoxNet (+3D ResNetFCN6)
0.16
Inference Speed (s)· 2019-10-12
Frustum VoxNet for 3D object detection from RGB-D or Depth images
#4Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2)
0.24
Inference Speed (s)
No paper
#52D-driven
4.15
Inference Speed (s)
No paper
#6DSSSOTA
19.55
Inference Speed (s)· 2015-11-07
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images