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 | Point-PlaneNet | https://www.sciencedirect.com/science/article/abs/pii/S1051200419301873 | Mean Accuracy | 90.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SpecGCN | http://arxiv.org/abs/1803.05827v1 | Overall Accuracy | 92.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | DynamicScale | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9565556 | Overall Accuracy | 92.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointGrid | http://openaccess.thecvf.com/content_cvpr_2018/html/Le_PointGrid_A_Deep_CVPR_2018_paper.html | Overall Accuracy | 92.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Kd-Net | http://arxiv.org/abs/1704.01222v2 | Overall Accuracy | 91.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | G3DNet-18 MLP, Fine-Tuned, Vote | https://ieeexplore.ieee.org/abstract/document/8354322 | Overall Accuracy | 91.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | 3DMFV-Net | http://arxiv.org/abs/1711.08241v1 | Overall Accuracy | 91.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | CrossMoCo | https://ieeexplore.ieee.org/abstract/document/10229841 | Overall Accuracy | 91.49 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | SO-Net | http://arxiv.org/abs/1803.04249v4 | Overall Accuracy | 90.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Overall Accuracy | 90.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Number of params | 1.74M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Kd-net | http://arxiv.org/abs/1704.01222v2 | Overall Accuracy | 90.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet + SageMix | https://arxiv.org/abs/2210.06944v1 | Overall Accuracy | 90.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | MVCNN | http://arxiv.org/abs/1505.00880v3 | Overall Accuracy | 90.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet | http://arxiv.org/abs/1612.00593v2 | Overall Accuracy | 89.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet | http://arxiv.org/abs/1612.00593v2 | Mean Accuracy | 86.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | PointNet | http://arxiv.org/abs/1612.00593v2 | Number of params | 3.47M |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Subvolume | http://arxiv.org/abs/1604.03265v2 | Overall Accuracy | 89.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ECC | http://arxiv.org/abs/1704.02901v3 | Overall Accuracy | 87.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | ECC | http://arxiv.org/abs/1704.02901v3 | Mean Accuracy | 83.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | VRN (multiple views) | http://arxiv.org/abs/1608.04236v2 | Mean Accuracy | 91.33 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | VRN (single view) | http://arxiv.org/abs/1608.04236v2 | Mean Accuracy | 88.98 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | 3DShapeNets | http://arxiv.org/abs/1406.5670v3 | Mean Accuracy | 77.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40 | Perceiver | https://arxiv.org/abs/2103.03206v2 | Mean Accuracy | 14.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | OmniVec2 | http://openaccess.thecvf.com//content/CVPR2024/html/Srivastava_OmniVec2_-_A_Novel_Transformer_based_Network_for_Large_Scale_CVPR_2024_paper.html | Error Rate | 0.142 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | OmniVec | https://arxiv.org/abs/2311.05709v1 | Error Rate | 0.156 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PCT+PointCutMix-R | https://arxiv.org/abs/2201.12296v1 | Error Rate | 0.163 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PCT+RSMix | https://arxiv.org/abs/2102.01929v3 | Error Rate | 0.173 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | DGCNN+PointCutMix-R | https://arxiv.org/abs/2101.01461v2 | Error Rate | 0.173 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PointNet++/+PointCutMix-R | https://arxiv.org/abs/2101.01461v2 | Error Rate | 0.191 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PointNet++/+PointMixup | https://arxiv.org/abs/2008.06374v1 | Error Rate | 0.193 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Error Rate | 0.236 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PCT | https://arxiv.org/abs/2012.09688v4 | Error Rate | 0.255 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | DGCNN | https://arxiv.org/abs/1801.07829v2 | Error Rate | 0.259 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | RSCNN | https://arxiv.org/abs/1904.07601v3 | Error Rate | 0.262 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | SimpleView | https://openreview.net/forum?id=XwATtbX3oCz | Error Rate | 0.271 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | ModelNet40-C | PointNet | http://arxiv.org/abs/1612.00593v2 | Error Rate | 0.283 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | Sydney Urban Objects | ECC | http://arxiv.org/abs/1704.02901v3 | F1 | 78.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | Sydney Urban Objects | ORION | http://arxiv.org/abs/1604.03351v2 | F1 | 77.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification | Sydney Urban Objects | G3DNet-18 MLP Fine-Tuned, Vote | https://ieeexplore.ieee.org/abstract/document/8354322 | F1 | 72.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet10 | PolyNet | https://arxiv.org/abs/2110.07882v1 | Accuracy | 94.93 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet10 | ORION | http://arxiv.org/abs/1604.03351v2 | Accuracy | 93.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet10 | G3DNet-18 SVM, Fine-Tuned, Vote | https://ieeexplore.ieee.org/abstract/document/8354322 | Accuracy | 93.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet10 | ECC (12 votes) | http://arxiv.org/abs/1704.02901v3 | Accuracy | 90 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | Remote Flash LiDAR Vehicles Dataset | YOLO-X | https://doi.org/10.1117/12.3013726 | mean average precision | 0.9858 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | 3R-Scan | SceneGraphFusion | https://arxiv.org/abs/2103.14898v3 | Top-5 Accuracy | 0.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | 3R-Scan | SceneGraphFusion | https://arxiv.org/abs/2103.14898v3 | Top-10 Accuracy | 0.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | 3R-Scan | 3DSSG [Wald2020_3dssg] | https://arxiv.org/abs/2103.14898v3 | Top-5 Accuracy | 0.68 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | 3R-Scan | 3DSSG [Wald2020_3dssg] | https://arxiv.org/abs/2103.14898v3 | Top-10 Accuracy | 0.78 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | Ours | https://arxiv.org/abs/2304.14124v1 | Classification Accuracy | 93.6 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | G3DNet-18 MLP, Fine-Tuned, Vote | https://ieeexplore.ieee.org/abstract/document/8354322 | Classification Accuracy | 91.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | CrossMoCo | https://ieeexplore.ieee.org/abstract/document/10229841 | Classification Accuracy | 91.49 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | O-CNN(6) | http://arxiv.org/abs/1712.01537v1 | Classification Accuracy | 89.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | 3D-PointCapsNet | https://arxiv.org/abs/1812.10775v2 | Classification Accuracy | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | Spherical Kernel | https://arxiv.org/abs/1909.09287v2 | Classification Accuracy | 89.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification | ModelNet40 | ECC (12 votes) | http://arxiv.org/abs/1704.02901v3 | Classification Accuracy | 83.2 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | Objaverse (I) | 60.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | Objaverse (Average) | 60.25 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | Objaverse (C) | 60.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | ShapeLLM-7B | https://arxiv.org/abs/2402.17766v3 | Objaverse (Average) | 54.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (I) | 56.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (Average) | 54.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (C) | 51.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | ShapeLLM-13B | https://arxiv.org/abs/2402.17766v3 | Objaverse (Average) | 54.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (I) | 55.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (Average) | 53.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | Objaverse (C) | 51.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | 3D-LLM | https://arxiv.org/abs/2307.12981v1 | Objaverse (I) | 49.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | 3D-LLM | https://arxiv.org/abs/2307.12981v1 | Objaverse (Average) | 45.25 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | 3D-LLM | https://arxiv.org/abs/2307.12981v1 | Objaverse (C) | 41.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | Point-Bind LLM | https://arxiv.org/abs/2309.00615v1 | Objaverse (I) | 6.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | Point-Bind LLM | https://arxiv.org/abs/2309.00615v1 | Objaverse (Average) | 5.25 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | Objaverse | Point-Bind LLM | https://arxiv.org/abs/2309.00615v1 | Objaverse (C) | 4.50 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | ModelNet40 (Average) | 60.86 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | ModelNet40 (I) | 61.75 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | MiniGPT-3D | https://arxiv.org/abs/2405.01413v1 | ModelNet40 (C) | 59.97 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | ShapeLLM-7B | https://arxiv.org/abs/2402.17766v3 | ModelNet40 (Average) | 53.08 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | ShapeLLM-13B | https://arxiv.org/abs/2402.17766v3 | ModelNet40 (Average) | 52.96 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (Average) | 52.78 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (I) | 53.00 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-13B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (C) | 52.55 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (Average) | 52.63 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (I) | 53.44 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | PointLLM-7B v1.2 | https://arxiv.org/abs/2308.16911v3 | ModelNet40 (C) | 51.82 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > 3D Object Classification > Generative 3D Object Classification | ModelNet40 | Point-Bind LLM | https://arxiv.org/abs/2309.00615v1 | ModelNet40 (Average) | 45.81 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | ReCon++ | https://arxiv.org/abs/2402.17766v3 | Overall Accuracy | 96.5 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | ReCon++ | https://arxiv.org/abs/2402.17766v3 | Standard Deviation | 3.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | Point-JEPA | https://arxiv.org/abs/2404.16432v5 | Overall Accuracy | 96.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | Point-JEPA | https://arxiv.org/abs/2404.16432v5 | Standard Deviation | 2.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | Overall Accuracy | 96.3 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | 3D-JEPA | https://arxiv.org/abs/2409.15803v1 | Standard Deviation | 2.4 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | PointGPT | https://arxiv.org/abs/2305.11487v2 | Overall Accuracy | 96.1 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | PointGPT | https://arxiv.org/abs/2305.11487v2 | Standard Deviation | 2.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | Overall Accuracy | 95.9 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | PCP-MAE | https://arxiv.org/abs/2408.08753v2 | Standard Deviation | 2.7 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | ReCon | https://arxiv.org/abs/2302.02318v2 | Overall Accuracy | 95.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | ReCon | https://arxiv.org/abs/2302.02318v2 | Standard Deviation | 3.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | Point-RAE | https://arxiv.org/abs/2310.03670v1 | Overall Accuracy | 95.8 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | Point-RAE | https://arxiv.org/abs/2310.03670v1 | Standard Deviation | 3.0 |
3D Point Cloud Reconstruction > 3D Point Cloud Classification > Few-Shot 3D Point Cloud Classification | ModelNet40 10-way (20-shot) | point2vec | https://arxiv.org/abs/2303.16570v2 | Overall Accuracy | 95.8 |
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