Point Cloud Registration on KITTI

Metric: Success Rate (higher is better)

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#	Model↕	Success Rate▼	Extra Data	Paper	Date↕	Code
1	GeDi	99.82	No	Learning general and distinctive 3D local deep d...	2021-05-21	Code
2	D3Feat-pred	99.81	No	D3Feat: Joint Learning of Dense Detection and De...	2020-03-06	Code
3	SpinNet	99.1	No	SpinNet: Learning a General Surface Descriptor f...	2020-11-24	Code
4	DIP	97.3	No	Distinctive 3D local deep descriptors	2020-09-01	Code
5	FCGF	96.57	No	-	-	Code
6	3DFeat-Net	95.97	No	3DFeat-Net: Weakly Supervised Local 3D Features ...	2018-07-25	Code

#1GeDiSOTA
99.82
Success Rate· 2021-05-21
Learning general and distinctive 3D local deep descriptors for point cloud registration Code
#2D3Feat-predSOTA
99.81
Success Rate· 2020-03-06
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Code
#3SpinNet
99.1
Success Rate· 2020-11-24
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Code
#4DIP
97.3
Success Rate· 2020-09-01
Distinctive 3D local deep descriptors Code
#5FCGF
96.57
Success Rate
No paperCode
#63DFeat-NetSOTA
95.97
Success Rate· 2018-07-25
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration Code