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Models/GeDi

GeDi

Reported on 64 benchmarks across 2 tasks · 1 paper · 60 SOTA

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

Computer Vision64 results

Point Cloud Registrationon3DMatch (trained on KITTI)
Recall· 2021-05-21
0.922
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-E
RRE (degrees)· 2021-05-21
1.629
best: 2.29 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-E
RTE (cm)· 2021-05-21
1.162
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-E
Recall (3cm, 10 degrees)· 2021-05-21
99.76
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-H
RRE (degrees)· 2021-05-21
1.7
best: 1.77 (FCGF+SC2-PCR )
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-H
RTE (cm)· 2021-05-21
1.63
best: 1.69 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-H
Recall (3cm, 10 degrees)· 2021-05-21
99.41
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonKITTI (trained on 3DMatch)
Success Rate· 2021-05-21
98.92
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-M
RRE (degrees)· 2021-05-21
2.14
best: 2.45 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-M
RTE (cm)· 2021-05-21
1.45
best: 1.94 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-M
Recall (3cm, 10 degrees)· 2021-05-21
75.4
best: 88.06 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-E
RRE (degrees)· 2021-05-21
1.69
best: 2.3 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-E
RTE (cm)· 2021-05-21
1.16
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-E
Recall (3cm, 10 degrees)· 2021-05-21
99.64
best: 99.88 (FPFH+SC2-PCR )
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonETH (trained on 3DMatch)
Feature Matching Recall· 2021-05-21
0.982
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonETH (trained on 3DMatch)
Recall (30cm, 5 degrees)· 2021-05-21
86.54
best: 94.25 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-M
RRE (degrees)· 2021-05-21
1.65
best: 2.29 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-M
RTE (cm)· 2021-05-21
1.15
best: 1.58 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-M
Recall (3cm, 10 degrees)· 2021-05-21
99.7
best: 99.82 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-E
RRE (degrees)· 2021-05-21
1.68
best: 2.32 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-E
RTE (cm)· 2021-05-21
1.16
best: 1.59 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-E
Recall (3cm, 10 degrees)· 2021-05-21
99.47
best: 99.76 (FPFH+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-M
Recall (3cm, 10 degrees)· 2021-05-21
99.94
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonKITTI
Success Rate· 2021-05-21
99.82
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-H
RRE (degrees)· 2021-05-21
1.63
best: 2.27 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-H
RTE (cm)· 2021-05-21
1.14
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-T-H
Recall (3cm, 10 degrees)· 2021-05-21
99.7
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-H
RRE (degrees)· 2021-05-21
2.56
best: 2.68 (FCGF+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-H
RTE (cm)· 2021-05-21
1.76
best: 2.22 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-O-H
Recall (3cm, 10 degrees)· 2021-05-21
8.7
best: 38.85 (FPFH+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud Interpolationon3DMatch (trained on KITTI)
Recall· 2021-05-21
0.922
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-E
RRE (degrees)· 2021-05-21
1.629
best: 2.29 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-E
RTE (cm)· 2021-05-21
1.162
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-E
Recall (3cm, 10 degrees)· 2021-05-21
99.76
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-H
RRE (degrees)· 2021-05-21
1.7
best: 1.77 (FCGF+SC2-PCR )
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-H
RTE (cm)· 2021-05-21
1.63
best: 1.69 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-H
Recall (3cm, 10 degrees)· 2021-05-21
99.41
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonKITTI (trained on 3DMatch)
Success Rate· 2021-05-21
98.92
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-M
RRE (degrees)· 2021-05-21
2.14
best: 2.45 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-M
RTE (cm)· 2021-05-21
1.45
best: 1.94 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-M
Recall (3cm, 10 degrees)· 2021-05-21
75.4
best: 88.06 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-E
RRE (degrees)· 2021-05-21
1.69
best: 2.3 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-E
RTE (cm)· 2021-05-21
1.16
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-E
Recall (3cm, 10 degrees)· 2021-05-21
99.64
best: 99.88 (FPFH+SC2-PCR )
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonETH (trained on 3DMatch)
Feature Matching Recall· 2021-05-21
0.982
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonETH (trained on 3DMatch)
Recall (30cm, 5 degrees)· 2021-05-21
86.54
best: 94.25 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-M
RRE (degrees)· 2021-05-21
1.65
best: 2.29 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-M
RTE (cm)· 2021-05-21
1.15
best: 1.58 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-M
Recall (3cm, 10 degrees)· 2021-05-21
99.7
best: 99.82 (Exhaustive Grid Search)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-E
RRE (degrees)· 2021-05-21
1.68
best: 2.32 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-E
RTE (cm)· 2021-05-21
1.16
best: 1.59 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-E
Recall (3cm, 10 degrees)· 2021-05-21
99.47
best: 99.76 (FPFH+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-M
Recall (3cm, 10 degrees)· 2021-05-21
99.94
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonKITTI
Success Rate· 2021-05-21
99.82
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-H
RRE (degrees)· 2021-05-21
1.63
best: 2.27 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-H
RTE (cm)· 2021-05-21
1.14
best: 1.57 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-T-H
Recall (3cm, 10 degrees)· 2021-05-21
99.7
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-H
RRE (degrees)· 2021-05-21
2.56
best: 2.68 (FCGF+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-H
RTE (cm)· 2021-05-21
1.76
best: 2.22 (GeoTransformer)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-O-H
Recall (3cm, 10 degrees)· 2021-05-21
8.7
best: 38.85 (FPFH+SC2-PCR)
SOTA
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-M
RRE (degrees)· 2021-05-21
1.66
best: 2.26 (GeoTransformer)
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
Point Cloud RegistrationonFP-R-M
RTE (cm)· 2021-05-21
1.14
best: 2.71 (GO-ICP)
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-M
RRE (degrees)· 2021-05-21
1.66
best: 2.26 (GeoTransformer)
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382
3D Point Cloud InterpolationonFP-R-M
RTE (cm)· 2021-05-21
1.14
best: 2.71 (GO-ICP)
Learning general and distinctive 3D local deep descriptors for point cloud registration arXiv:2105.10382