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Shape Canonicalization on ShapeNet Core Partial v1 (test)

0.2118Score (bench)Compass*
0.0867920.1192460.15170.184154Jan 19, 2022

Evaluation results

MethodLinks
Compass*Metric Type=Category-Level Consistency (CC), Training=Slicing augmentation (O)2022.010.2118————0.130.14380.12150.16120.1280.16880.1990.12420.12550.1760.17190.09190.15030.1647
Compass*Metric Type=Ground Truth Consistency (GC), Training=Slicing augmentation (O)2022.010.1917————0.14120.1020.10660.14760.11150.15380.17350.11940.11150.16170.17090.07370.13580.1423
Compass*Metric Type=Instance-Level Consistency (IC), Training=Slicing augmentation (O)2022.010.19————0.0790.11830.09110.1280.10530.1440.10.08360.10.11340.1080.04870.10840.1247
ConDorMetric Type=Category-Level Consistency (CC), Training Mode=Full + Partial (F+P)2022.010.1695———0.03260.11090.06320.07390.1270.09350.05460.20480.10420.07130.16660.15790.09360.11470.1234
ConDorMetric Type=Instance-Level Consistency (IC), Training Mode=Full + Partial (F+P)2022.010.1432————0.05010.03490.04420.06220.04780.02210.08910.04420.02650.10860.07390.04690.06110.0792
ConDorMetric Type=Ground Truth Consistency (GC), Training Mode=Full + Partial (F+P)2022.010.1416———0.02910.11820.03560.06850.0780.05930.030.15010.06920.0360.14690.06620.07390.08260.1016
PCAMetric Type=Category-Level Consistency (CC)2022.010.1269————0.150.12530.10810.16360.13670.06910.23120.11780.11240.16770.17690.10780.1380.138
PCAMetric Type=Instance-Level Consistency (IC)2022.010.1033————0.1140.11490.08280.14750.12210.05170.15710.08670.10.11820.14010.07560.10880.1088
PCAMetric Type=Ground Truth Consistency (GC)2022.010.0916————0.13910.07270.08790.13370.09080.03710.19850.08040.09150.14790.10870.10210.10630.1063