Few-shot 3D Object Classification (10-way) on ModelNet40 (test)
93.6Accuracy (10-shot)RECON
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RECONTransfer Protocol=MLP-LINEAR, Backbone=RECON-block, Voting Strategy=False2023.02 | 93.6 | 95.4 | |
| RECONTransfer Protocol=MLP-3, Backbone=RECON-block, Voting Strategy=False2023.02 | 93.6 | 95.7 | |
| ACTReference=ICLR 23, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 93.3 | 95.6 | |
| RECONReference=ICML 23, Tuning Paradigm=Self-Supervised Representation Learning (FULL), Context=baseline2024.08 | 93.3 | 95.8 | |
| ACTTransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 93.3 | 95.6 | |
| RECONTransfer Protocol=FULL, Backbone=RECON-block, Voting Strategy=False2023.02 | 93.3 | 95.8 | |
| VPPReference=NeurIPS 23, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 93 | 95.4 | |
| RECON w/ IDPTReference=ICCV 23, Tuning Paradigm=Parameter-Efficient Supervised Fine-tuning, reproduced=true2024.08 | 92.8 | 95.5 | |
| Point-MAEReference=ECCV 22, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 92.6 | 95 | |
| I2P-MAEReference=CVPR 23, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 92.6 | 95.5 | |
| Point-MAETransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 92.6 | 95 | |
| Point-MAE†Transfer Protocol=FULL, Backbone=RECON-block, Voting Strategy=False2023.02 | 92.5 | 95.2 | |
| ACTTransfer Protocol=MLP-3, Backbone=Transformer, Voting Strategy=False2023.02 | 92.4 | 94.7 | |
| Point-M2AEReference=NeurIPS 22, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 92.3 | 95 | |
| Point-M2AETransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 92.3 | 95 | |
| RECON w/ PPTReference=ACMMM 25, Tuning Paradigm=Parameter-Efficient Supervised Fine-tuning2024.08 | 92.2 | 95.6 | |
| RECON w/ DAPTReference=CVPR 24, Tuning Paradigm=Parameter-Efficient Supervised Fine-tuning, reproduced=true2024.08 | 91.9 | 94.6 | |
| MaskPointTransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 91.4 | 93.4 | |
| Point-BERTReference=CVPR 22, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 91 | 92.7 | |
| Point-BERTTransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 91 | 92.7 | |
| Point-MAETransfer Protocol=MLP-3, Backbone=Transformer, Voting Strategy=False2023.02 | 90.6 | 93.8 | |
| OcCoReference=ICCV 21, Tuning Paradigm=Self-Supervised Representation Learning (FULL)2024.08 | 89.4 | 92.4 | |
| OcCoTransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 89.4 | 92.4 | |
| Transformer†Transfer Protocol=FULL, Backbone=RECON-block, Voting Strategy=False2023.02 | 85.2 | 89.9 | |
| TransformerTransfer Protocol=FULL, Backbone=Transformer, Voting Strategy=False2023.02 | 84.6 | 89.4 | |
| ACTTransfer Protocol=MLP-LINEAR, Backbone=Transformer, Voting Strategy=False2023.02 | 84.5 | 90.7 | |
| Point-MAETransfer Protocol=MLP-LINEAR, Backbone=Transformer, Voting Strategy=False2023.02 | 83.5 | 89.7 | |
| OcCoReference=ICCV 21, Tuning Paradigm=Supervised2024.08 | 82.9 | 86.5 | |
| OcCoTransfer Protocol=None, Backbone=Transformer, Voting Strategy=False2023.02 | 82.9 | 86.5 | |
| GPr-Net (Hyp)Num Points=512, #Params=1.24K, F/B pass=50KB, Distance Metric=Hyperbolic2023.04 | 71.59 | 73.78 | |
| GPr-Net (Hyp)Num Points=1024, #Params=1.24K, F/B pass=50KB, Distance Metric=Hyperbolic2023.04 | 70.42 | 72.83 | |
| Enrich-FeaturesNum Points=10242023.04 | 68.76 | 80.72 | |
| GPr-Net (Euc)Num Points=512, #Params=1.24K, F/B pass=50KB, Distance Metric=Euclidean2023.04 | 62.31 | 63.33 | |
| GPr-Net (Euc)Num Points=1024, #Params=1.24K, F/B pass=50KB, Distance Metric=Euclidean2023.04 | 62.14 | 63.43 | |
| SS-FSL (PointNet)Num Points=1024, #Params=3.47M, F/B pass=8.5GB2023.04 | 49.15 | 50.1 | |
| SS-FSL (DGCNN)Num Points=1024, #Params=1.82M, F/B pass=53GB2023.04 | 48.5 | 53 | |
| PointCNNNum Points=10242023.04 | 46.6 | 49.95 | |
| PointNetNum Points=1024, #Params=3.47M, F/B pass=8.5GB2023.04 | 46.6 | 35.2 | |
| 3D-GANNum Points=10242023.04 | 40.25 | 48.35 | |
| PointCapsNetNum Points=1024, #Params=2.15M, F/B pass=39GB2023.04 | 38 | 27.15 | |
| Latent-GANNum Points=10242023.04 | 32.9 | 25.45 | |
| PointNet++Num Points=1024, #Params=1.48M, F/B pass=149GB2023.04 | 23.05 | 18.8 | |
| DGCNNReference=TOG 19, Tuning Paradigm=Supervised2024.08 | 19.9 | 16.9 | |
| DGCNNTransfer Protocol=None, Backbone=DGCNN, Voting Strategy=False2023.02 | 19.9 | 16.9 | |
| DGCNNNum Points=1024, #Params=1.82M, F/B pass=53GB2023.04 | 19.85 | 16.85 | |
| FoldingNetNum Points=1024, #Params=0.67M, F/B pass=5.7GB2023.04 | 18.55 | 15.44 |