Subdivision-Based Mesh Convolution Networks

Benchmark Model Rank Results
pose-estimation-on-salsaSubdivNet#1Accuracy: 93
pose-estimation-on-salsaMeshCNN (Hanocka et al., 2019)#2Accuracy: 87.7
pose-estimation-on-salsaPointnet++ (Qi et al., [2017b])#3Accuracy: 82.3
pose-estimation-on-salsaPointnet (Qi et al., [2017a])#4Accuracy: 74.7