Object Classification on ModelNet40 1.0 (test)
91.6AccuracyConClu
Evaluation results
| Method | Links | |
|---|---|---|
| ConCluBackbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 91.6 | |
| STRLYear=2021, Backbone=DGCNN, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 90.9 | |
| Rotation3DYear=2020, Backbone=DGCNN, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 90.8 | |
| Jigsaw3DYear=2019, Backbone=DGCNN, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 90.6 | |
| MAP-VAEYear=2019, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 90.2 | |
| ConCluBackbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 89.8 | |
| OcCoYear=2021, Backbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 89.2 | |
| OcCoYear=2021, Backbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 88.7 | |
| Rotation3DYear=2020, Backbone=PointNet, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 88.6 | |
| FoldingNetYear=2018, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 88.4 | |
| STRLYear=2021, Backbone=PointNet, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 88.3 | |
| Jigsaw3DYear=2019, Backbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 87.8 | |
| Jigsaw3DYear=2019, Backbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 87.5 | |
| LGANYear=2018, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 87.3 | |
| Jigsaw3DYear=2019, Backbone=PointNet, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 87.3 | |
| ContrastNetYear=2019, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 86.8 | |
| MRTNetYear=2018, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 86.4 | |
| LGANYear=2018, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 85.7 | |
| FoldingNetYear=2018, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 84.4 |