Object Classification on ModelNet10 (test)
97.5AccuracyGrid-CNN
Evaluation Results
| Method | Links | |
|---|---|---|
| Grid-CNNInput=xyz, #point=1024, voting strategy=false2021.05 | 97.5 | |
| VRNEnsemble=true2016.08 | 97.14 | |
| CurveNetInput=xyz, #point=1024, voting strategy=true2021.05 | 96.3 | |
| CurveNetInput=xyz, #point=1024, voting strategy=false2021.05 | 96.1 | |
| PointASNLInput=xyz, #point=1024, voting strategy=false2021.05 | 95.7 | |
| SO-NetInput=xyz, nr, #point=5000, voting strategy=false2021.05 | 95.7 | |
| A-CNNInput=xyz, nr, #point=1024, voting strategy=false2021.05 | 95.5 | |
| LGANSupervised=false2018.11 | 95.3 | |
| Latent-GANevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 95.3 | |
| LGANYear=2018, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 95.3 | |
| ConCluBackbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 95 | |
| MAP-VAEYear=2019, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 94.8 | |
| DGCNN + Pre-Trainingevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 94.52 | |
| Jigsaw3DYear=2019, Backbone=DGCNN, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 94.5 | |
| FNetSupervised=false2018.11 | 94.4 | |
| FoldingNetevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 94.4 | |
| FoldingNetYear=2018, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 94.4 | |
| VIP-GANSupervised=false2018.11 | 94.05 | |
| RotationNetSupervised=true2018.11 | 93.84 | |
| ORION2016.08 | 93.8 | |
| ORIONSupervision=Category labels, Pretraining=None2016.10 | 93.8 | |
| ORIONSupervised=true2018.11 | 93.8 | |
| VRNSupervised=true2018.11 | 93.8 | |
| ContrastNetYear=2019, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 93.8 | |
| VRN2016.08 | 93.61 | |
| ConCluBackbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 93.3 | |
| Voxception2016.08 | 93.28 | |
| FusionNets2016.08 | 93.11 | |
| VIP-GAN (+SN55)Supervised=false2018.11 | 92.84 | |
| Pairwise2016.08 | 92.8 | |
| PairwiseSupervised=true2018.11 | 92.8 | |
| OcCoYear=2021, Backbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 92.7 | |
| Jigsaw3DYear=2019, Backbone=DGCNN, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 92.6 | |
| 3DDescriptorNetSupervised=true2018.11 | 92.4 | |
| LGANYear=2018, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 92.2 | |
| LGAN(MN40)Supervised=false2018.11 | 92.18 | |
| VIP-GAN (SN55)Supervised=false2018.11 | 92.18 | |
| VIP-GANevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 92.18 | |
| Voxnet2016.08 | 92 | |
| VoxNetSupervision=Category labels, Pretraining=None2016.10 | 92 | |
| VoxNetSupervised=true2018.11 | 92 | |
| FoldingNetYear=2018, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 91.9 | |
| FNet(MN40)Supervised=false2018.11 | 91.85 | |
| PointNet + Pre-Trainingevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 91.61 | |
| Jigsaw3DYear=2019, Backbone=PointNet, Pre-trained on ShapeNet=true, Evaluation Protocol=Linear SVM2022.02 | 91.6 | |
| GIFTSupervised=true2018.11 | 91.5 | |
| OcCoYear=2021, Backbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 91.4 | |
| Jigsaw3DYear=2019, Backbone=PointNet, Pre-trained on ShapeNet=false, Evaluation Protocol=Linear SVM2022.02 | 91.3 | |
| VanillaRequires Retraining=No2026.06 | 91.2 | |
| PANORAMASupervised=true2018.11 | 91.12 | |
| 3D-GANSupervision=Unsupervised, Pretraining=-2016.10 | 91 | |
| 3DGANSupervised=false2018.11 | 91 | |
| 3D-GANevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 91 | |
| Equiv.Requires Retraining=Yes2026.06 | 87.8 | |
| Equiv.Requires Retraining=Yes2026.06 | 87.8 | |
| ITSbRequires Retraining=No2026.06 | 86.7 | |
| DeepPanoSupervision=Category labels, Pretraining=None2016.10 | 85.5 | |
| Augm.Requires Retraining=Yes2026.06 | 83.9 | |
| 3D ShapeNetsSupervision=Category labels, Pretraining=None2016.10 | 83.5 | |
| STNRequires Retraining=Yes2026.06 | 82.9 | |
| STNRequires Retraining=Yes2026.06 | 82.5 | |
| VConv-DAESupervision=Unsupervised, Pretraining=-2016.10 | 80.5 | |
| Vconv-DAESupervised=false2018.11 | 80.5 | |
| VConv-DAEevaluation_protocol=Linear SVM, pre-training=Unsupervised on ShapeNet2019.01 | 80.5 | |
| Augm.Requires Retraining=Yes2026.06 | 80.1 | |
| LFDSupervision=Unsupervised, Pretraining=-2016.10 | 79.9 | |
| LFDSupervised=false2018.11 | 79.9 | |
| SPHSupervision=Unsupervised, Pretraining=-2016.10 | 79.8 | |
| LearnedRequires Retraining=Yes2026.06 | 70.1 | |
| LearnedRequires Retraining=Yes2026.06 | 68.2 | |
| OODCRequires Retraining=No2026.06 | 60.6 | |
| OODCRequires Retraining=No2026.06 | 59.6 | |
| ITSbRequires Retraining=No2026.06 | 54 | |
| TTARequires Retraining=No2026.06 | 47.7 | |
| ITSRequires Retraining=No2026.06 | 33.6 | |
| ITSaRequires Retraining=No2026.06 | 32.4 | |
| TTARequires Retraining=No2026.06 | 28.3 | |
| ITSaRequires Retraining=No2026.06 | 27.6 | |
| ITSRequires Retraining=No2026.06 | 27.1 | |
| VanillaRequires Retraining=No2026.06 | 20.5 |