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 | ReCon (no voting) | https://arxiv.org/abs/2302.02318v2 | OBJ-ONLY (OA) | 93.29 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | AsymDSD-S (no voting) | https://arxiv.org/abs/2506.21724v1 | Overall Accuracy | 90.53 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | AsymDSD-S (no voting) | https://arxiv.org/abs/2506.21724v1 | OBJ-BG (OA) | 94.32 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | AsymDSD-S (no voting) | https://arxiv.org/abs/2506.21724v1 | OBJ-ONLY (OA) | 91.91 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DeLA | https://arxiv.org/abs/2308.16532v1 | Overall Accuracy | 90.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DeLA | https://arxiv.org/abs/2308.16532v1 | Mean Accuracy | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DeLA | https://arxiv.org/abs/2308.16532v1 | Number of params | 5.3M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DeLA | https://arxiv.org/abs/2308.16532v1 | FLOPs | 1.5G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | Overall Accuracy | 90.35 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | OBJ-BG (OA) | 95.52 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | OBJ-ONLY (OA) | 94.32 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointConT | https://arxiv.org/abs/2303.04599v1 | Overall Accuracy | 90.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointConT | https://arxiv.org/abs/2303.04599v1 | Mean Accuracy | 88.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-RAE (no voting) | https://arxiv.org/abs/2310.03670v1 | Overall Accuracy | 90.28 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-RAE (no voting) | https://arxiv.org/abs/2310.03670v1 | OBJ-BG (OA) | 95.53 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-RAE (no voting) | https://arxiv.org/abs/2310.03670v1 | OBJ-ONLY (OA) | 93.63 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-FEMAE | https://arxiv.org/abs/2312.10726v1 | Overall Accuracy | 90.22 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-FEMAE | https://arxiv.org/abs/2312.10726v1 | OBJ-BG (OA) | 95.18 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-FEMAE | https://arxiv.org/abs/2312.10726v1 | OBJ-ONLY (OA) | 93.29 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | I2P-MAE (no voting) | https://arxiv.org/abs/2212.06785v1 | Overall Accuracy | 90.11 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | I2P-MAE (no voting) | https://arxiv.org/abs/2212.06785v1 | OBJ-BG (OA) | 94.15 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | I2P-MAE (no voting) | https://arxiv.org/abs/2212.06785v1 | OBJ-ONLY (OA) | 91.57 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointNeXt | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 89.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointNeXt | https://arxiv.org/abs/2212.05171v4 | Mean Accuracy | 88.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointNeXt | https://arxiv.org/abs/2212.05171v4 | Number of params | 1.4M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ReCon+PPT | https://arxiv.org/abs/2408.11567v1 | Overall Accuracy | 89.52 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ReCon+PPT | https://arxiv.org/abs/2408.11567v1 | OBJ-BG (OA) | 95.01 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ReCon+PPT | https://arxiv.org/abs/2408.11567v1 | OBJ-ONLY (OA) | 93.28 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | Overall Accuracy | 89.52 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | OBJ-BG (OA) | 93.63 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | OBJ-ONLY (OA) | 94.49 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP∗ + JM3D | https://arxiv.org/abs/2308.02982v2 | Overall Accuracy | 89.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP∗ + JM3D | https://arxiv.org/abs/2308.02982v2 | Mean Accuracy | 88.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointMLP | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 89.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointMLP | https://arxiv.org/abs/2212.05171v4 | Mean Accuracy | 88.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | KPConvX-L | https://arxiv.org/abs/2405.13194v1 | Overall Accuracy | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | KPConvX-L | https://arxiv.org/abs/2405.13194v1 | Mean Accuracy | 88.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | P2P | https://arxiv.org/abs/2208.02812v2 | Overall Accuracy | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | P2P | https://arxiv.org/abs/2208.02812v2 | Number of params | 195.8M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ACT | https://arxiv.org/abs/2212.08320v2 | Overall Accuracy | 89.17 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Ours | https://www.sciencedirect.com/science/article/pii/S0031320324004631 | Overall Accuracy | 89.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Ours | https://www.sciencedirect.com/science/article/pii/S0031320324004631 | Mean Accuracy | 87.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | OTMae3D | https://ieeexplore.ieee.org/document/10815033 | Overall Accuracy | 89.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | OTMae3D | https://ieeexplore.ieee.org/document/10815033 | FLOPs | 6.29 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | OTMae3D | https://ieeexplore.ieee.org/document/10815033 | OBJ-BG (OA) | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | OTMae3D | https://ieeexplore.ieee.org/document/10815033 | OBJ-ONLY (OA) | 92.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP-2 + Point-BERT | https://arxiv.org/abs/2305.08275v4 | Overall Accuracy | 89.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+Local | https://arxiv.org/abs/2212.05140v2 | Overall Accuracy | 88.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+Local | https://arxiv.org/abs/2212.05140v2 | Mean Accuracy | 87.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | SPoTr | https://arxiv.org/abs/2303.16450v1 | Overall Accuracy | 88.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | SPoTr | https://arxiv.org/abs/2303.16450v1 | Mean Accuracy | 86.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | IDPT | https://arxiv.org/abs/2304.07221v2 | Overall Accuracy | 88.51 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | IDPT | https://arxiv.org/abs/2304.07221v2 | OBJ-BG (OA) | 93.12 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP+TAP | https://arxiv.org/abs/2307.14971v2 | Overall Accuracy | 88.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+GAM | http://arxiv.org/abs/1505.07110v2 | Overall Accuracy | 88.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+GAM | http://arxiv.org/abs/1505.07110v2 | Number of params | 1.4M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+GAM | http://arxiv.org/abs/1505.07110v2 | FLOPs | 1.64G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+HyCoRe | https://arxiv.org/abs/2209.10318v1 | Overall Accuracy | 88.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt+HyCoRe | https://arxiv.org/abs/2209.10318v1 | Mean Accuracy | 87.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ACT (no voting) | https://arxiv.org/abs/2212.08320v2 | Overall Accuracy | 88.21 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ACT (no voting) | https://arxiv.org/abs/2212.08320v2 | OBJ-BG (OA) | 93.29 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ACT (no voting) | https://arxiv.org/abs/2212.08320v2 | OBJ-ONLY (OA) | 91.91 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Overall Accuracy | 88.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Mean Accuracy | 86.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Number of params | 1.4M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointNeXt | https://arxiv.org/abs/2206.04670v2 | FLOPs | 1.64G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointConT (no voting) | https://arxiv.org/abs/2303.04599v1 | Overall Accuracy | 88.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointConT (no voting) | https://arxiv.org/abs/2303.04599v1 | Mean Accuracy | 86.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointVector-S | https://arxiv.org/abs/2205.10528v3 | Overall Accuracy | 87.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointVector-S | https://arxiv.org/abs/2205.10528v3 | Mean Accuracy | 86.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | point2vec | https://arxiv.org/abs/2303.16570v2 | Overall Accuracy | 87.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | point2vec | https://arxiv.org/abs/2303.16570v2 | Mean Accuracy | 86.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | point2vec | https://arxiv.org/abs/2303.16570v2 | OBJ-BG (OA) | 91.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | point2vec | https://arxiv.org/abs/2303.16570v2 | OBJ-ONLY (OA) | 90.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointStack | https://arxiv.org/abs/2205.09962v1 | Overall Accuracy | 87.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointStack | https://arxiv.org/abs/2205.09962v1 | Mean Accuracy | 86.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-PN | https://arxiv.org/abs/2303.08134v2 | Overall Accuracy | 87.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-PN | https://arxiv.org/abs/2303.08134v2 | Number of params | 0.8M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCMT | https://arxiv.org/abs/2210.04208v1 | Overall Accuracy | 86.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCMT | https://arxiv.org/abs/2210.04208v1 | Mean Accuracy | 84.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointCMT | https://arxiv.org/abs/2210.04208v1 | Number of params | 12.6M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-JEPA | https://arxiv.org/abs/2404.16432v5 | Overall Accuracy | 86.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-JEPA | https://arxiv.org/abs/2404.16432v5 | OBJ-BG (OA) | 92.9±0.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLS | https://arxiv.org/abs/2401.08210v1 | Overall Accuracy | 86.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-M2AE | https://arxiv.org/abs/2205.14401v2 | Overall Accuracy | 86.43 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-M2AE | https://arxiv.org/abs/2205.14401v2 | OBJ-BG (OA) | 91.22 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-M2AE | https://arxiv.org/abs/2205.14401v2 | OBJ-ONLY (OA) | 88.81 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | ULIP + PointBERT | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 86.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | DualMLP | https://link.springer.com/article/10.1007/s00371-023-03114-3 | Overall Accuracy | 86.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U (2x) | https://arxiv.org/abs/2205.05740v2 | Overall Accuracy | 86.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U (2x) | https://arxiv.org/abs/2205.05740v2 | Number of params | 6.80M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | RepSurf-U (2x) | https://arxiv.org/abs/2205.05740v2 | FLOPs | 2.43G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP | https://arxiv.org/abs/2202.07123v2 | Overall Accuracy | 85.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | PointMLP | https://arxiv.org/abs/2202.07123v2 | Mean Accuracy | 84.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-LGMask | https://ieeexplore.ieee.org/abstract/document/10146493 | Overall Accuracy | 85.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-LGMask | https://ieeexplore.ieee.org/abstract/document/10146493 | OBJ-BG (OA) | 89.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-LGMask | https://ieeexplore.ieee.org/abstract/document/10146493 | OBJ-ONLY (OA) | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-MAE | https://arxiv.org/abs/2203.06604v2 | Overall Accuracy | 85.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-MAE | https://arxiv.org/abs/2203.06604v2 | OBJ-BG (OA) | 90.02 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ScanObjectNN | Point-MAE | https://arxiv.org/abs/2203.06604v2 | OBJ-ONLY (OA) | 88.29 |
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