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 | ModelNet40 | DeLA | https://arxiv.org/abs/2308.16532v1 | FLOPs | 1.44G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | P2P | https://arxiv.org/abs/2208.02812v2 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | P2P | https://arxiv.org/abs/2208.02812v2 | Mean Accuracy | 91.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Mean Accuracy | 91.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNeXt | https://arxiv.org/abs/2206.04670v2 | Number of params | 4.5M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNeXt | https://arxiv.org/abs/2206.04670v2 | FLOPs | 6.5G |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point Voxel Transformer | https://arxiv.org/abs/2108.06076v4 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-MAE | https://arxiv.org/abs/2203.06604v2 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-M2AE | https://arxiv.org/abs/2205.14401v2 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMLS | https://arxiv.org/abs/2401.08210v1 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | MKConv | https://arxiv.org/abs/2107.12655v3 | Overall Accuracy | 94.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | MKConv | https://arxiv.org/abs/2107.12655v3 | Number of params | 5.63M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SimpleView | https://openreview.net/forum?id=XwATtbX3oCz | Overall Accuracy | 93.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SimpleView | https://openreview.net/forum?id=XwATtbX3oCz | Mean Accuracy | 91.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PAConv | https://arxiv.org/abs/2103.14635v2 | Overall Accuracy | 93.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SimpleView-DGCNN | https://arxiv.org/abs/2106.05304v1 | Overall Accuracy | 93.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMAE+PPT | https://arxiv.org/abs/2408.11567v1 | Overall Accuracy | 93.88 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | MVTN | https://arxiv.org/abs/2011.13244v3 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | MVTN | https://arxiv.org/abs/2011.13244v3 | Mean Accuracy | 92.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Feature Geometric Net (FG-Net) | https://arxiv.org/abs/2012.09439v2 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Feature Geometric Net (FG-Net) | https://arxiv.org/abs/2012.09439v2 | Mean Accuracy | 91.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | GBNet | https://arxiv.org/abs/1911.12885v5 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | GBNet | https://arxiv.org/abs/1911.12885v5 | Mean Accuracy | 91.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeltaConv | https://arxiv.org/abs/2111.08799v5 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeltaConv | https://arxiv.org/abs/2111.08799v5 | Mean class accuracy | 91.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | GDANet | https://arxiv.org/abs/2012.10921v3 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-BERT | https://arxiv.org/abs/2111.14819v2 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | APES (global-based downsample) | https://arxiv.org/abs/2302.14673v2 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-JEPA (no voting) | https://arxiv.org/abs/2404.16432v5 | Overall Accuracy | 93.8±0.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-PN | https://arxiv.org/abs/2303.08134v2 | Overall Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-PN | https://arxiv.org/abs/2303.08134v2 | Number of params | 0.8M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointSCNet | https://arxiv.org/abs/2202.10251v2 | Overall Accuracy | 93.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointSCNet | https://arxiv.org/abs/2202.10251v2 | Mean Accuracy | 91.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PRA-Net | https://arxiv.org/abs/2112.04903v1 | Overall Accuracy | 93.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PRA-Net | https://arxiv.org/abs/2112.04903v1 | Mean Accuracy | 91.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointTransformer | https://arxiv.org/abs/2012.09164v2 | Overall Accuracy | 93.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointTransformer | https://arxiv.org/abs/2012.09164v2 | Mean Accuracy | 90.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DualMLP | https://link.springer.com/article/10.1007/s00371-023-03114-3 | Overall Accuracy | 93.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMixer | https://arxiv.org/abs/2111.11187v5 | Overall Accuracy | 93.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMixer | https://arxiv.org/abs/2111.11187v5 | Mean Accuracy | 91.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointMixer | https://arxiv.org/abs/2111.11187v5 | Number of params | 6.5M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeepGCN | https://arxiv.org/abs/1910.06849v3 | Overall Accuracy | 93.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeepGCN | https://arxiv.org/abs/1910.06849v3 | Mean Accuracy | 90.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DeepGCN | https://arxiv.org/abs/1910.06849v3 | Number of params | 2.2M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | LCPFormer | https://arxiv.org/abs/2210.12755v2 | Overall Accuracy | 93.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | LCPFormer | https://arxiv.org/abs/2210.12755v2 | Mean Accuracy | 90.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN + SageMix | https://arxiv.org/abs/2210.06944v1 | Overall Accuracy | 93.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointVector-S | https://arxiv.org/abs/2205.10528v3 | Overall Accuracy | 93.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointVector-S | https://arxiv.org/abs/2205.10528v3 | Mean Accuracy | 91 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RSMix | https://arxiv.org/abs/2102.01929v3 | Overall Accuracy | 93.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointConT | https://arxiv.org/abs/2303.04599v1 | Overall Accuracy | 93.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | APES (local-based downsample) | https://arxiv.org/abs/2302.14673v2 | Overall Accuracy | 93.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DSPoint | https://arxiv.org/abs/2111.10332v4 | Overall Accuracy | 93.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DSPoint | https://arxiv.org/abs/2111.10332v4 | Number of params | 1.16M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ULIP + PointNet++(ssg) | https://arxiv.org/abs/2212.05171v4 | Overall Accuracy | 93.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ULIP + PointNet++(ssg) | https://arxiv.org/abs/2212.05171v4 | Mean Accuracy | 91.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointCutmix | https://arxiv.org/abs/2101.01461v2 | Overall Accuracy | 93.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | 3DMedPT | https://arxiv.org/abs/2112.04863v2 | Overall Accuracy | 93.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | 3DMedPT | https://arxiv.org/abs/2112.04863v2 | Number of params | 1.54M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN + MD | https://arxiv.org/abs/2109.00452v3 | Overall Accuracy | 93.39 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN + MD | https://arxiv.org/abs/2109.00452v3 | Mean Accuracy | 89.88 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OGNet + MD | https://arxiv.org/abs/2109.00452v3 | Overall Accuracy | 93.31 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OGNet + MD | https://arxiv.org/abs/2109.00452v3 | Mean Accuracy | 90.71 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OG-Net-Small | https://arxiv.org/abs/2006.04569v3 | Overall Accuracy | 93.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OG-Net-Small | https://arxiv.org/abs/2006.04569v3 | Mean Accuracy | 90.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | OG-Net-Small | https://arxiv.org/abs/2006.04569v3 | Number of params | 1.22M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointStack | https://arxiv.org/abs/2205.09962v1 | Overall Accuracy | 93.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointStack | https://arxiv.org/abs/2205.09962v1 | Mean Accuracy | 89.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet++ + SageMix | https://arxiv.org/abs/2210.06944v1 | Overall Accuracy | 93.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointASNL | https://arxiv.org/abs/2003.00492v3 | Overall Accuracy | 93.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point Cloud Transformer | https://arxiv.org/abs/2012.09688v4 | Overall Accuracy | 93.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point Cloud Transformer | https://arxiv.org/abs/2012.09688v4 | Number of params | 2.88M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DRNet | https://arxiv.org/abs/2005.06734v2 | Overall Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ShellNet | https://arxiv.org/abs/1908.06295v1 | Overall Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | STRL + DGCNN | https://arxiv.org/abs/2109.00179v1 | Overall Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PatchAugment+DGCNN | null | Overall Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | AdaCrossNet | https://inass.org/wp-content/uploads/2024/10/2025022911-2.pdf | Overall Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointManifold | https://arxiv.org/abs/2010.07215v2 | Overall Accuracy | 93.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointManifold | https://arxiv.org/abs/2010.07215v2 | Mean Accuracy | 90.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | InterpCNN | https://arxiv.org/abs/1908.04512v1 | Overall Accuracy | 93.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN | https://arxiv.org/abs/1801.07829v2 | Overall Accuracy | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN | https://arxiv.org/abs/1801.07829v2 | Mean Accuracy | 90.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DGCNN | https://arxiv.org/abs/1801.07829v2 | Number of params | 1.81M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | KPConv | https://arxiv.org/abs/1904.08889v2 | Overall Accuracy | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | RS-CNN | https://arxiv.org/abs/1904.07601v3 | Overall Accuracy | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ASSANet | https://arxiv.org/abs/2110.10538v2 | Overall Accuracy | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-M2AE-SVM | https://arxiv.org/abs/2205.14401v2 | Overall Accuracy | 92.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point Transformer | https://arxiv.org/abs/2011.00931v2 | Overall Accuracy | 92.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | A-CNN | http://arxiv.org/abs/1904.08017v1 | Overall Accuracy | 92.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | P2Sequence | http://arxiv.org/abs/1811.02565v2 | Overall Accuracy | 92.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-TnT | https://arxiv.org/abs/2204.03957v1 | Overall Accuracy | 92.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-TnT | https://arxiv.org/abs/2204.03957v1 | Number of params | 3.9M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointConv | https://arxiv.org/abs/1811.07246v3 | Overall Accuracy | 92.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PolyNet | https://arxiv.org/abs/2110.07882v1 | Overall Accuracy | 92.42 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SpiderCNN | http://arxiv.org/abs/1803.11527v3 | Overall Accuracy | 92.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PCNN | http://arxiv.org/abs/1803.10091v1 | Overall Accuracy | 92.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointCNN | http://papers.nips.cc/paper/7362-pointcnn-convolution-on-x-transformed-points | Overall Accuracy | 92.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Point-PlaneNet | https://www.sciencedirect.com/science/article/abs/pii/S1051200419301873 | Overall Accuracy | 92.1 |
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