Point Cloud Classification on ModelNet-C Augmented WolfMix benchmark leaderboard · SOTA2 Research

Point Cloud Classification on ModelNet-C Augmented WolfMix

93.4Overall Accuracy (OA)GDANet+W.M

Evaluation Results

Method	Links
GDANet+W.M2023.03		93.4	0.571	0.904	0.883	0.532	0.551	0.305	0.415	0.409
PCT+W.M2023.03		93.4	0.574	1	0.854	0.379	0.493	0.298	0.505	0.488
RPC+W.M2023.03		93.3	0.601	1.011	0.968	0.423	0.512	0.332	0.48	0.479
DGCNN+W.M2023.03		93.2	0.59	0.989	0.715	0.698	0.575	0.285	0.415	0.451
EPiC+W.M2023.03		92.7	0.51	0.915	0.699	0.323	0.425	0.268	0.404	0.535
EPiC+W.M2023.03		92.7	0.501	0.915	0.68	0.315	0.42	0.251	0.382	0.544
EPiC+W.M2023.03		92.5	0.53	0.968	0.639	0.343	0.473	0.275	0.433	0.577
EPiC+W.M2023.03		92.1	0.529	1.021	0.541	0.355	0.488	0.288	0.407	0.6