task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | MVTN+SimpleView++ | https://ieeexplore.ieee.org/document/9874679 | Overall Accuracy | 84.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DeltaConv | https://arxiv.org/abs/2111.08799v5 | Overall Accuracy | 84.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | Overall Accuracy | 84.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | Number of params | 1.48M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | FLOPs | 0.81G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | APP-Net | https://arxiv.org/abs/2205.00847v2 | Overall Accuracy | 84.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP-elite | https://arxiv.org/abs/2202.07123v2 | Overall Accuracy | 83.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP-elite | https://arxiv.org/abs/2202.07123v2 | Mean Accuracy | 81.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet++ + SageMix | https://arxiv.org/abs/2210.06944v1 | Overall Accuracy | 83.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DGCNN + SageMix | https://arxiv.org/abs/2210.06944v1 | Overall Accuracy | 83.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-TnT | https://arxiv.org/abs/2204.03957v1 | Overall Accuracy | 83.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-TnT | https://arxiv.org/abs/2204.03957v1 | Mean Accuracy | 81.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-TnT | https://arxiv.org/abs/2204.03957v1 | Number of params | 3.9M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-TnT | https://arxiv.org/abs/2204.03957v1 | FLOPs | 1.19G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-BERT | https://arxiv.org/abs/2111.14819v2 | Overall Accuracy | 83.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-BERT | https://arxiv.org/abs/2111.14819v2 | OBJ-BG (OA) | 87.43 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-BERT | https://arxiv.org/abs/2111.14819v2 | OBJ-ONLY (OA) | 88.12 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | MVTN | https://arxiv.org/abs/2011.13244v3 | Overall Accuracy | 82.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | MVTN | https://arxiv.org/abs/2011.13244v3 | OBJ-BG (OA) | 92.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | MVTN | https://arxiv.org/abs/2011.13244v3 | OBJ-ONLY (OA) | 92.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PRA-Net | https://arxiv.org/abs/2112.04903v1 | Overall Accuracy | 82.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PRA-Net | https://arxiv.org/abs/2112.04903v1 | Mean Accuracy | 79.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DynamicScale | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9565556 | Overall Accuracy | 82.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PatchAugment | https://openaccess.thecvf.com/content/ICCV2021W/DLGC/html/Sheshappanavar_PatchAugment_Local_Neighborhood_Augmentation_in_Point_Cloud_Classification_ICCVW_2021_paper.html | Overall Accuracy | 81.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PatchAugment | https://openaccess.thecvf.com/content/ICCV2021W/DLGC/html/Sheshappanavar_PatchAugment_Local_Neighborhood_Augmentation_in_Point_Cloud_Classification_ICCVW_2021_paper.html | Mean Accuracy | 79.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | GBNet | https://arxiv.org/abs/1911.12885v5 | Overall Accuracy | 80.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | GBNet | https://arxiv.org/abs/1911.12885v5 | Mean Accuracy | 77.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | SimpleView | https://openreview.net/forum?id=XwATtbX3oCz | Overall Accuracy | 80.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DRNet | https://arxiv.org/abs/2005.06734v2 | Overall Accuracy | 80.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DRNet | https://arxiv.org/abs/2005.06734v2 | Mean Accuracy | 78.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCNN | http://arxiv.org/abs/1801.07791v5 | Overall Accuracy | 78.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCNN | http://arxiv.org/abs/1801.07791v5 | Mean Accuracy | 75.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCNN | http://arxiv.org/abs/1801.07791v5 | OBJ-BG (OA) | 86.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCNN | http://arxiv.org/abs/1801.07791v5 | OBJ-ONLY (OA) | 85.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DGCNN | https://arxiv.org/abs/1801.07829v2 | Overall Accuracy | 78.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DGCNN | https://arxiv.org/abs/1801.07829v2 | Mean Accuracy | 73.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DGCNN | https://arxiv.org/abs/1801.07829v2 | OBJ-BG (OA) | 82.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DGCNN | https://arxiv.org/abs/1801.07829v2 | OBJ-ONLY (OA) | 86.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Overall Accuracy | 77.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Mean Accuracy | 75.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet++ | http://arxiv.org/abs/1706.02413v1 | OBJ-BG (OA) | 82.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet++ | http://arxiv.org/abs/1706.02413v1 | OBJ-ONLY (OA) | 84.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | SpiderCNN | http://arxiv.org/abs/1803.11527v3 | Overall Accuracy | 73.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | SpiderCNN | http://arxiv.org/abs/1803.11527v3 | Mean Accuracy | 69.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet | http://arxiv.org/abs/1612.00593v2 | Overall Accuracy | 68.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNet | http://arxiv.org/abs/1612.00593v2 | Mean Accuracy | 63.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ExpPoint-MAE | https://arxiv.org/abs/2306.10798v3 | OBJ-BG (OA) | 90.88 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ExpPoint-MAE | https://arxiv.org/abs/2306.10798v3 | OBJ-ONLY (OA) | 90.02 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | 3DMedPT | https://arxiv.org/abs/2112.04863v2 | F1 score (5-fold) | 0.936 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PCT | https://arxiv.org/abs/2012.09688v4 | F1 score (5-fold) | 0.914 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PAConv | https://arxiv.org/abs/2103.14635v2 | F1 score (5-fold) | 0.906 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PointNet++ | http://arxiv.org/abs/1706.02413v1 | F1 score (5-fold) | 0.903 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PointConv | https://arxiv.org/abs/1811.07246v3 | F1 score (5-fold) | 0.883 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PointCNN | http://papers.nips.cc/paper/7362-pointcnn-convolution-on-x-transformed-points | F1 score (5-fold) | 0.875 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | SpiderCNN | http://arxiv.org/abs/1803.11527v3 | F1 score (5-fold) | 0.872 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | GS-Net | https://arxiv.org/abs/1912.10644v1 | F1 score (5-fold) | 0.872 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | SO-Net | http://arxiv.org/abs/1803.04249v4 | F1 score (5-fold) | 0.868 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | AdaptConv | https://arxiv.org/abs/2108.08035v2 | F1 score (5-fold) | 0.858 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | DGCNN | https://arxiv.org/abs/1801.07829v2 | F1 score (5-fold) | 0.738 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | IntrA | PointNet | http://arxiv.org/abs/1612.00593v2 | F1 score (5-fold) | 0.684 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointGST | https://arxiv.org/abs/2410.08114v1 | Overall Accuracy | 95.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Mamba3D + Point-MAE | https://arxiv.org/abs/2404.14966v2 | Overall Accuracy | 95.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Mamba3D + Point-MAE | https://arxiv.org/abs/2404.14966v2 | Number of params | 16.9M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Mamba3D + Point-MAE | https://arxiv.org/abs/2404.14966v2 | FLOPs | 3.9G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ReCon++ | https://arxiv.org/abs/2402.17766v3 | Overall Accuracy | 95.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointGPT | null | Overall Accuracy | 94.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | point2vec | https://arxiv.org/abs/2303.16570v2 | Overall Accuracy | 94.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | point2vec | https://arxiv.org/abs/2303.16570v2 | Mean Accuracy | 92.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ULIP + PointMLP | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 94.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ULIP + PointMLP | https://arxiv.org/abs/2212.05171v4 | Mean Accuracy | 92.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ReCon | https://arxiv.org/abs/2302.02318v2 | Overall Accuracy | 94.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | AsymDSD-B* (no voting) | https://arxiv.org/abs/2506.21724v1 | Overall Accuracy | 94.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | Overall Accuracy | 94.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | Number of params | 1.48M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | FLOPs | 0.81G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMLP+HyCoRe | https://arxiv.org/abs/2209.10318v1 | Overall Accuracy | 94.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMLP+HyCoRe | https://arxiv.org/abs/2209.10318v1 | Mean Accuracy | 91.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMLP | https://arxiv.org/abs/2202.07123v2 | Overall Accuracy | 94.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMLP | https://arxiv.org/abs/2202.07123v2 | Mean Accuracy | 91.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-FEMAE | https://arxiv.org/abs/2312.10726v1 | Overall Accuracy | 94.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OTMae3D | https://ieeexplore.ieee.org/document/10815033 | Overall Accuracy | 94.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet2+PointCMT | https://arxiv.org/abs/2210.04208v1 | Overall Accuracy | 94.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet2+PointCMT | https://arxiv.org/abs/2210.04208v1 | Mean Accuracy | 91.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet2+PointCMT | https://arxiv.org/abs/2210.04208v1 | Number of params | 1.62M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | IDPT | https://arxiv.org/abs/2304.07221v2 | Overall Accuracy | 94.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OTMae3D (w/o Voting) | https://ieeexplore.ieee.org/document/10815033 | Overall Accuracy | 94.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | IAE + DGCNN | https://arxiv.org/abs/2201.00785v5 | Overall Accuracy | 94.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | IAE + DGCNN | https://arxiv.org/abs/2201.00785v5 | Mean Accuracy | 91.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PTv2 | https://arxiv.org/abs/2210.05666v2 | Overall Accuracy | 94.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PTv2 | https://arxiv.org/abs/2210.05666v2 | Mean Accuracy | 91.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | CurveNet | https://arxiv.org/abs/2105.01288v2 | Overall Accuracy | 94.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ExpPoint-MAE | https://arxiv.org/abs/2306.10798v3 | Overall Accuracy | 94.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | Overall Accuracy | 94.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RPNet | https://arxiv.org/abs/2108.12468v1 | Overall Accuracy | 94.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ULIP + PointBERT | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 94.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-RAE | https://arxiv.org/abs/2310.03670v1 | Overall Accuracy | 94.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-JEPA (voting) | https://arxiv.org/abs/2404.16432v5 | Overall Accuracy | 94.1±0.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeLA | https://arxiv.org/abs/2308.16532v1 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeLA | https://arxiv.org/abs/2308.16532v1 | Mean Accuracy | 92.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeLA | https://arxiv.org/abs/2308.16532v1 | Number of params | 5.3M |
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