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 Instance Segmentation | ScanNet(v2) | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mRec | 74.1 |
3D Instance Segmentation | ScanNet(v2) | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP | 56.9 |
3D Instance Segmentation | ScanNet(v2) | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP @ 50 | 79.5 |
3D Instance Segmentation | ScanNet(v2) | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP@25 | 87.9 |
3D Instance Segmentation | ScanNet(v2) | QueryFormer | http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html | mAP | 58.3 |
3D Instance Segmentation | ScanNet(v2) | QueryFormer | http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html | mAP @ 50 | 78.7 |
3D Instance Segmentation | ScanNet(v2) | QueryFormer | http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html | mAP@25 | 87.4 |
3D Instance Segmentation | ScanNet(v2) | Mask3D | https://arxiv.org/abs/2210.03105v2 | mAP | 55.2 |
3D Instance Segmentation | ScanNet(v2) | Mask3D | https://arxiv.org/abs/2210.03105v2 | mAP @ 50 | 78.0 |
3D Instance Segmentation | ScanNet(v2) | Mask3D | https://arxiv.org/abs/2210.03105v2 | mAP@25 | 87.0 |
3D Instance Segmentation | ScanNet(v2) | SPFormer | https://arxiv.org/abs/2211.15766v1 | mAP | 54.9 |
3D Instance Segmentation | ScanNet(v2) | SPFormer | https://arxiv.org/abs/2211.15766v1 | mAP @ 50 | 77.0 |
3D Instance Segmentation | ScanNet(v2) | ISBNet | https://arxiv.org/abs/2303.00246v2 | mAP | 55.9 |
3D Instance Segmentation | ScanNet(v2) | ISBNet | https://arxiv.org/abs/2303.00246v2 | mAP @ 50 | 76.3 |
3D Instance Segmentation | ScanNet(v2) | ISBNet | https://arxiv.org/abs/2303.00246v2 | mAP@25 | 84.5 |
3D Instance Segmentation | ScanNet(v2) | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP | 50.4 |
3D Instance Segmentation | ScanNet(v2) | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP @ 50 | 76.1 |
3D Instance Segmentation | ScanNet(v2) | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP@25 | 86.5 |
3D Instance Segmentation | ScanNet(v2) | TD3D | https://arxiv.org/abs/2302.02871v4 | mAP | 48.9 |
3D Instance Segmentation | ScanNet(v2) | TD3D | https://arxiv.org/abs/2302.02871v4 | mAP @ 50 | 75.1 |
3D Instance Segmentation | ScanNet(v2) | TD3D | https://arxiv.org/abs/2302.02871v4 | mAP@25 | 87.5 |
3D Instance Segmentation | ScanNet(v2) | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP | 57.3 |
3D Instance Segmentation | ScanNet(v2) | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP @ 50 | 74.7 |
3D Instance Segmentation | ScanNet(v2) | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP@25 | 82.5 |
3D Instance Segmentation | ScanNet(v2) | DKNet | https://arxiv.org/abs/2207.07372v2 | mAP | 53.2 |
3D Instance Segmentation | ScanNet(v2) | DKNet | https://arxiv.org/abs/2207.07372v2 | mAP @ 50 | 71.8 |
3D Instance Segmentation | ScanNet(v2) | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP | 50.0 |
3D Instance Segmentation | ScanNet(v2) | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP @ 50 | 71.0 |
3D Instance Segmentation | ScanNet(v2) | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP@25 | 83.6 |
3D Instance Segmentation | ScanNet(v2) | HAIS | https://arxiv.org/abs/2108.02350v1 | mAP | 45.7 |
3D Instance Segmentation | ScanNet(v2) | HAIS | https://arxiv.org/abs/2108.02350v1 | mAP @ 50 | 69.9 |
3D Instance Segmentation | ScanNet(v2) | SSTNet | https://arxiv.org/abs/2108.07478v1 | mAP | 50.6 |
3D Instance Segmentation | ScanNet(v2) | SSTNet | https://arxiv.org/abs/2108.07478v1 | mAP @ 50 | 69.8 |
3D Instance Segmentation | ScanNet(v2) | MaskGroup | https://arxiv.org/abs/2203.14662v1 | mAP | 43.4 |
3D Instance Segmentation | ScanNet(v2) | MaskGroup | https://arxiv.org/abs/2203.14662v1 | mAP @ 50 | 66.4 |
3D Instance Segmentation | ScanNet(v2) | RPGN | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf | mAP | 42.8 |
3D Instance Segmentation | ScanNet(v2) | RPGN | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf | mAP @ 50 | 64.2 |
3D Instance Segmentation | ScanNet(v2) | RPGN | https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136900055.pdf | mAP@25 | 80.6 |
3D Instance Segmentation | ScanNet(v2) | GICN | https://arxiv.org/abs/2007.09860v1 | mAP @ 50 | 63.8 |
3D Instance Segmentation | ScanNet(v2) | PointGroup | https://arxiv.org/abs/2004.01658v1 | mAP | 40.7 |
3D Instance Segmentation | ScanNet(v2) | PointGroup | https://arxiv.org/abs/2004.01658v1 | mAP @ 50 | 63.6 |
3D Instance Segmentation | ScanNet(v2) | HIDA | https://arxiv.org/abs/2107.03180v1 | mAP | 43.6 |
3D Instance Segmentation | ScanNet(v2) | HIDA | https://arxiv.org/abs/2107.03180v1 | mAP @ 50 | 63.5 |
3D Instance Segmentation | ScanNet(v2) | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mRec | 61.1 |
3D Instance Segmentation | ScanNet(v2) | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mAP | 35.3 |
3D Instance Segmentation | ScanNet(v2) | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mAP @ 50 | 59.1 |
3D Instance Segmentation | ScanNet(v2) | 4DContrast | https://arxiv.org/abs/2112.02990v2 | mAP @ 50 | 57.6 |
3D Instance Segmentation | ScanNet(v2) | RWSeg | https://arxiv.org/abs/2208.05110v3 | mAP | 34.8 |
3D Instance Segmentation | ScanNet(v2) | RWSeg | https://arxiv.org/abs/2208.05110v3 | mAP @ 50 | 56.7 |
3D Instance Segmentation | ScanNet(v2) | RWSeg | https://arxiv.org/abs/2208.05110v3 | mAP@25 | 73.9 |
3D Instance Segmentation | ScanNet(v2) | 3D-BoNet | https://arxiv.org/abs/1906.01140v2 | mRec | 47.6 |
3D Instance Segmentation | ScanNet(v2) | 3D-BoNet | https://arxiv.org/abs/1906.01140v2 | mAP | 25.3 |
3D Instance Segmentation | ScanNet(v2) | 3D-BoNet | https://arxiv.org/abs/1906.01140v2 | mAP @ 50 | 48.8 |
3D Instance Segmentation | ScanNet(v2) | ResNet-Backbone | http://arxiv.org/abs/1902.04478v1 | mAP @ 50 | 45.9 |
3D Instance Segmentation | ScanNet(v2) | MASC | http://arxiv.org/abs/1902.04478v1 | mAP | 25.4 |
3D Instance Segmentation | ScanNet(v2) | MASC | http://arxiv.org/abs/1902.04478v1 | mAP @ 50 | 44.7 |
3D Instance Segmentation | ScanNet(v2) | 3D-SIS | http://arxiv.org/abs/1812.07003v3 | mAP @ 50 | 38.2 |
3D Instance Segmentation | ScanNet(v2) | UNet-Backbone | http://arxiv.org/abs/1606.06650v1 | mAP @ 50 | 31.9 |
3D Instance Segmentation | ScanNet(v2) | MPNet | https://arxiv.org/abs/2001.01349v1 | mAP @ 50 | 31 |
3D Instance Segmentation | ScanNet(v2) | Searilized Point Mamba | https://arxiv.org/abs/2407.12319v1 | mAP | 40.0 |
3D Instance Segmentation | ScanNet(v2) | Searilized Point Mamba | https://arxiv.org/abs/2407.12319v1 | mAP@25 | 76.4 |
3D Instance Segmentation | ScanNet(v2) | MAFT | https://arxiv.org/abs/2309.01692v1 | mAP | 59.6 |
3D Instance Segmentation | ScanNet++ | Any3DIS | https://arxiv.org/abs/2411.16183v1 | mAP | 22.2 |
3D Instance Segmentation | ScanNet++ | Open3DIS | https://arxiv.org/abs/2312.10671v3 | mAP | 20.7 |
3D Instance Segmentation | ScanNet++ | SAI3D | https://arxiv.org/abs/2312.11557v2 | mAP | 17.1 |
3D Instance Segmentation | MitoEM | Res-UNet-R/H | https://arxiv.org/abs/2104.07961v4 | AP75-R-Val | 0.917 |
3D Instance Segmentation | MitoEM | Res-UNet-R/H | https://arxiv.org/abs/2104.07961v4 | AP75-H-Val | 0.828 |
3D Instance Segmentation | MitoEM | Res-UNet-R/H | https://arxiv.org/abs/2104.07961v4 | AP75-R-Test | 0.851 |
3D Instance Segmentation | MitoEM | Res-UNet-R/H | https://arxiv.org/abs/2104.07961v4 | AP75-H-Test | 0.829 |
3D Instance Segmentation | MitoEM | Unet3D | https://donglaiw.github.io/paper/2020_miccai_mitoEM.pdf | AP75-R-Test | 0.816 |
3D Instance Segmentation | MitoEM | Unet3D | https://donglaiw.github.io/paper/2020_miccai_mitoEM.pdf | AP75-H-Test | 0.804 |
3D Instance Segmentation | ScanNet | MASC | http://arxiv.org/abs/1902.04478v1 | mAP | 0.447 |
3D Instance Segmentation | PartNet | Semantic Segmentation-Assisted Instance Feature Fusion | https://arxiv.org/abs/2208.04766v1 | mAP50 | 64.1 |
3D Instance Segmentation | PartNet | Probabilistic Embeddings | https://arxiv.org/abs/1912.00145v2 | mAP50 | 57.5 |
3D Instance Segmentation | PartNet | Partnet | http://arxiv.org/abs/1812.02713v1 | mAP50 | 54.4 |
3D Instance Segmentation | ScanNet200 | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP | 31.5 |
3D Instance Segmentation | ScanNet200 | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP@50 | 45.3 |
3D Instance Segmentation | ScanNet200 | ODIN | https://arxiv.org/abs/2401.02416v3 | mAP@25 | 53.1 |
3D Instance Segmentation | ScanNet200 | Mask3D | https://arxiv.org/abs/2210.03105v2 | mAP | 27.8 |
3D Instance Segmentation | ScanNet200 | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP | 26.2 |
3D Instance Segmentation | ScanNet200 | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP@50 | 35.2 |
3D Instance Segmentation | ScanNet200 | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mAP@25 | 40.1 |
3D Instance Segmentation | ScanNet200 | ISBNet | https://arxiv.org/abs/2303.00246v2 | mAP | 24.5 |
3D Instance Segmentation | ScanNet200 | Open3DIS (Open-Vocabulary) | https://arxiv.org/abs/2312.10671v3 | mAP | 23.7 |
3D Instance Segmentation | STPLS3D | EASE | http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html | AP50 | 80.8 |
3D Instance Segmentation | STPLS3D | EASE | http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html | AP25 | 86.9 |
3D Instance Segmentation | STPLS3D | EASE | http://openaccess.thecvf.com//content/CVPR2024/html/Roh_Edge-Aware_3D_Instance_Segmentation_Network_with_Intelligent_Semantic_Prior_CVPR_2024_paper.html | AP | 64.5 |
3D Instance Segmentation | STPLS3D | Mask3D | https://arxiv.org/abs/2210.03105v2 | AP50 | 74.3 |
3D Instance Segmentation | STPLS3D | Mask3D | https://arxiv.org/abs/2210.03105v2 | AP25 | 81.6 |
3D Instance Segmentation | STPLS3D | Mask3D | https://arxiv.org/abs/2210.03105v2 | AP | 57.3 |
3D Instance Segmentation | STPLS3D | TD3D | https://arxiv.org/abs/2302.02871v4 | AP50 | 69.8 |
3D Instance Segmentation | STPLS3D | TD3D | https://arxiv.org/abs/2302.02871v4 | AP | 54.3 |
3D Instance Segmentation | STPLS3D | Spherical Mask | https://arxiv.org/abs/2312.11269v2 | AP50 | 68.3 |
3D Instance Segmentation | STPLS3D | Spherical Mask | https://arxiv.org/abs/2312.11269v2 | AP | 52.2 |
3D Instance Segmentation | STPLS3D | ISBNet | https://arxiv.org/abs/2303.00246v2 | AP50 | 64.0 |
3D Instance Segmentation | STPLS3D | ISBNet | https://arxiv.org/abs/2303.00246v2 | AP | 49.2 |
3D Instance Segmentation | STPLS3D | SoftGroup | https://arxiv.org/abs/2203.01509v1 | AP50 | 63.1 |
3D Instance Segmentation | STPLS3D | SoftGroup | https://arxiv.org/abs/2203.01509v1 | AP25 | 71.4 |
3D Instance Segmentation | STPLS3D | SoftGroup | https://arxiv.org/abs/2203.01509v1 | AP | 47.3 |
3D Instance Segmentation | STPLS3D | SoftGroup++ | https://arxiv.org/abs/2209.08263v3 | AP50 | 62.9 |
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