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Shape Matching on DT4D-H inter-class (test)

0.9Mean Geodesic Error (x100)ULRSSM
-0.3087.8461624.154Oct 12, 2022May 9, 2023Dec 4, 2023Jun 30, 2024Jan 25, 2025Aug 22, 2025Mar 19, 2026

Evaluation results

MethodLinks
ULRSSMLearning paradigm=Unsupervised2026.030.9
DeepFAFMLearning paradigm=Unsupervised2026.030.9
HybridFMapLearning paradigm=Unsupervised2026.031
SGMatchLearning paradigm=Unsupervised2026.031
Smooth ShellsLearning paradigm=Axiomatic2026.031.2
AttnFMapsLearning paradigm=Unsupervised2026.031.7
DiffuMatchLearning paradigm=Unsupervised2026.031.8
GeomFMapsLearning paradigm=Supervised2026.031.9
DUO-FMNetLearning paradigm=Unsupervised2026.032.6
Deep ShellLearning paradigm=Unsupervised2026.033.4
DiscreteOpLearning paradigm=Axiomatic2026.033.6
HybridFMapsTrain set=DT4D-H, Method supervision type=Unsupervised2026.033.9
ContrastiveFMNetTrain set=DT4D-H, Method supervision type=Unsupervised2026.033.9
ZoomOutLearning paradigm=Axiomatic2026.034
GeomFmapsSupervision=supervised2022.104.1
OursSupervision=supervised2022.104.6
Ours-FastSupervision=supervised2022.104.7
DenoisFMapLearning paradigm=Unsupervised2026.035.8
FMNetLearning paradigm=Supervised2026.039.6
OursSupervision=unsupervised2022.1011.6
Ours-FastSupervision=unsupervised2022.1014.6
GeomFmapsSupervision=unsupervised2022.1022.6
ZoomOutTrain set=DT4D-H, Method supervision type=Axiomatic2026.0329
DeepShellsSupervision=unsupervised2022.1031.1