Point Cloud Registration on FPv1

Metric: Recall (3cm, 10 degrees) (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Recall (3cm, 10 degrees)▼	Extra Data	Paper	Date↕	Code
1	Greedy Grid Search	92.81	No	Challenging the Universal Representation of Deep...	2022-11-29	Code
2	GeoTransformer	56.15	No	Geometric Transformer for Fast and Robust Point ...	2022-02-14	Code
3	DIP	54.81	No	Distinctive 3D local deep descriptors	2020-09-01	Code
4	FCGF + PointDSC	47.85	No	PointDSC: Robust Point Cloud Registration using ...	2021-03-09	Code
5	SpinNet	42.46	No	SpinNet: Learning a General Surface Descriptor f...	2020-11-24	Code
6	FCGF + YOHO-C	29.18	No	You Only Hypothesize Once: Point Cloud Registrat...	2021-09-01	Code
7	FCGF + YOHO-O	18.91	No	You Only Hypothesize Once: Point Cloud Registrat...	2021-09-01	Code
8	FPFH-8M	9.51	No	-	-	Code

#1Greedy Grid SearchSOTA
92.81
Recall (3cm, 10 degrees)· 2022-11-29
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration Code
#2GeoTransformerSOTA
56.15
Recall (3cm, 10 degrees)· 2022-02-14
Geometric Transformer for Fast and Robust Point Cloud Registration Code
#3DIPSOTA
54.81
Recall (3cm, 10 degrees)· 2020-09-01
Distinctive 3D local deep descriptors Code
#4FCGF + PointDSC
47.85
Recall (3cm, 10 degrees)· 2021-03-09
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency Code
#5SpinNet
42.46
Recall (3cm, 10 degrees)· 2020-11-24
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Code
#6FCGF + YOHO-C
29.18
Recall (3cm, 10 degrees)· 2021-09-01
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Code
#7FCGF + YOHO-O
18.91
Recall (3cm, 10 degrees)· 2021-09-01
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Code
#8FPFH-8M
9.51
Recall (3cm, 10 degrees)
No paperCode