3D Object Classification on ModelNet40 1k P
94.8AccuracyPoint2Vec
Evaluation Results
| Method | Links | |
|---|---|---|
| Point2VecPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 94.8 | |
| PointMLP2025.12 | 94.5 | |
| Point-FEMAE2025.12 | 94.5 | |
| PointLAMA2025.12 | 94.5 | |
| ReCon2025.12 | 94.5 | |
| IAE (DGCNN)#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.12 | 94.2 | |
| IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL2025.12 | 94.2 | |
| CSCon2025.12 | 94.1 | |
| I2P-MAE2025.12 | 94.1 | |
| PointMLP#Params(M)=12.6, GFLOPS=31.4, Evaluation Protocol=Supervised2025.12 | 94.1 | |
| IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL, pre-training mesh=w/o mesh2025.12 | 94.1 | |
| PointNeXtPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.09 | 94 | |
| Point-M2AEPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 94 | |
| 3D-JEPAPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 94 | |
| P2P-HorNet2025.12 | 94 | |
| Point-M2AE2025.12 | 94 | |
| PointGPT2025.12 | 94 | |
| Point-PQAE2025.12 | 94 | |
| Joint-MAE2025.12 | 94 | |
| Point-M2AE#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=FULL SSL2025.12 | 94 | |
| ViPFormerPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 93.9 | |
| SimpleView2025.12 | 93.9 | |
| Point-MAEPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 93.8 | |
| 3D-JEPAPre-training Epochs=150, Training Paradigm=SSRL2024.09 | 93.8 | |
| MVTN2025.12 | 93.8 | |
| MaskPoint2025.12 | 93.8 | |
| Point-MAE2025.12 | 93.8 | |
| GBNet#Params(M)=8.8, Evaluation Protocol=Supervised2025.12 | 93.8 | |
| Point-MAE#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.12 | 93.8 | |
| ACTPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 93.7 | |
| ACT2025.12 | 93.7 | |
| Point-CMAE2025.12 | 93.6 | |
| 3D-OAEPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 93.4 | |
| Point-BERTPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 93.2 | |
| Point-BERT2025.12 | 93.2 | |
| PointNeXt#Params(M)=1.4, GFLOPS=3.6, Evaluation Protocol=Supervised2025.12 | 93.2 | |
| Point-BERT#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.12 | 93.2 | |
| IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL2025.12 | 93.2 | |
| STRL#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.12 | 93.1 | |
| IAE (M2AE)#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL, pre-training mesh=w/o mesh2025.12 | 93.1 | |
| OcCo#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.12 | 93 | |
| DGCNNPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.09 | 92.9 | |
| DGCNN2025.12 | 92.9 | |
| KPConvEvaluation Protocol=Supervised2025.12 | 92.9 | |
| DGCNN#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.12 | 92.9 | |
| Point-M2AE#Params(M)=15.3, GFLOPS=3.6, Evaluation Protocol=LINEAR SSL2025.12 | 92.9 | |
| JigSaw#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=FULL SSL2025.12 | 92.6 | |
| PointCNN#Params(M)=0.6, Evaluation Protocol=Supervised2025.12 | 92.2 | |
| IAE (DGCNN)#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.12 | 92.1 | |
| TransformerPre-training Epochs=300, Training Paradigm=SSRL2024.09 | 91.4 | |
| Transformer#Params(M)=22.1, GFLOPS=4.8, Evaluation Protocol=FULL SSL2025.12 | 91.4 | |
| CrossPoint#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.12 | 91.2 | |
| STRL#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.12 | 90.9 | |
| PointNet++Pre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.09 | 90.7 | |
| PointNet++2025.12 | 90.7 | |
| PointNet++#Params(M)=1.5, GFLOPS=1.7, Evaluation Protocol=Supervised2025.12 | 90.7 | |
| OcCo#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.12 | 89.7 | |
| PointNetPre-training Epochs=N/A, Training Paradigm=Supervised Learning Only2024.09 | 89.2 | |
| PointNet2025.12 | 89.2 | |
| PointNet#Params(M)=3.5, GFLOPS=0.5, Evaluation Protocol=Supervised2025.12 | 89.2 | |
| JigSaw#Params(M)=1.8, GFLOPS=2.4, Evaluation Protocol=LINEAR SSL2025.12 | 84.1 |