ResearchBenchmarks3D Object Classification on ModelNet40 upright (test)Follow0.944AccuracyEMVN0.870160.889330.90850.92767Jun 18, 2020Evaluation ResultsMethodMethodLinksAccuracyEMVNnumber of images=60number of images=602020.060.944SWSCNNbreaking equivariance=...breaking equivariance=true2020.060.901SWSCNNbreaking equivariance=...breaking equivariance=false2020.060.896SphCNN2020.060.893UGSCNN2020.060.873