FCGF + YOHO-O

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Point Cloud RegistrationonFPv1
RRE (degrees)· 2021-09-01
4.489
SOTA
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182
3D Point Cloud InterpolationonFPv1
RRE (degrees)· 2021-09-01
4.489
SOTA
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182
Point Cloud RegistrationonFPv1
RTE (cm)· 2021-09-01
1.852
best: 2.052 (DIP)
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182
Point Cloud RegistrationonFPv1
Recall (3cm, 10 degrees)· 2021-09-01
18.91
best: 92.81 (Greedy Grid Search)
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182
3D Point Cloud InterpolationonFPv1
RTE (cm)· 2021-09-01
1.852
best: 2.052 (DIP)
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182
3D Point Cloud InterpolationonFPv1
Recall (3cm, 10 degrees)· 2021-09-01
18.91
best: 92.81 (Greedy Grid Search)
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors arXiv:2109.00182