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 ⌀ |
|---|---|---|---|---|---|
Multivariate Time Series Forecasting | Helpdesk | QuerySelector | https://arxiv.org/abs/2107.08687v2 | Accuracy | 0.743 |
Multivariate Time Series Forecasting | Helpdesk | LSTM | http://arxiv.org/abs/1612.02130v2 | Accuracy | 0.7123 |
Multivariate Time Series Forecasting > GLinear | Traffic (192) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.4056 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (336) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.4915 |
Multivariate Time Series Forecasting > GLinear | Weather (720) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3200 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (24) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3142 |
Multivariate Time Series Forecasting > GLinear | Electricity (192) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.1494 |
Multivariate Time Series Forecasting > GLinear | Weather (192) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.1883 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (720) Multivariate | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.5923 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (24) Multivariate | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3142 |
Multivariate Time Series Forecasting > GLinear | Electricity (96) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.1313 |
Multivariate Time Series Forecasting > GLinear | Traffic (720) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.4488 |
Multivariate Time Series Forecasting > GLinear | Traffic (96) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3875 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (48) | MSE | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3537 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (96) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3820 |
Multivariate Time Series Forecasting > GLinear | ETTh1 (192) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.4202 |
Multivariate Time Series Forecasting > GLinear | Electricity (336) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.1651 |
Multivariate Time Series Forecasting > GLinear | Traffic | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.3222 |
Multivariate Time Series Forecasting > GLinear | Traffic (336) | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.4201 |
Multivariate Time Series Forecasting > GLinear | Electricity | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.0883 |
Multivariate Time Series Forecasting > GLinear | Weather | GLinear | https://arxiv.org/abs/2501.01087v3 | MSE | 0.0716 |
3D Instance Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mRec | 74.1 |
3D Instance Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mPrec | 82.3 |
3D Instance Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | AP@50 | 75.8 |
3D Instance Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mAP | 63.0 |
3D Instance Segmentation | S3DIS | Mask3D | https://arxiv.org/abs/2210.03105v2 | AP@50 | 75.5 |
3D Instance Segmentation | S3DIS | Mask3D | https://arxiv.org/abs/2210.03105v2 | mAP | 64.5 |
3D Instance Segmentation | S3DIS | PBNet | https://arxiv.org/abs/2207.11209v4 | AP@50 | 70.6 |
3D Instance Segmentation | S3DIS | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP | 59.5 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | mRec | 77.1 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | mPrec | 77.5 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | mCov | 74.9 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | mWCov | 76.8 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | AP@50 | 70.5 |
3D Instance Segmentation | S3DIS | ISBNet | https://arxiv.org/abs/2303.00246v2 | mAP | 60.8 |
3D Instance Segmentation | S3DIS | TD3D | https://arxiv.org/abs/2302.02871v4 | AP@50 | 70.4 |
3D Instance Segmentation | S3DIS | TD3D | https://arxiv.org/abs/2302.02871v4 | mAP | 58.1 |
3D Instance Segmentation | S3DIS | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mRec | 70.1 |
3D Instance Segmentation | S3DIS | MSTA3D | https://arxiv.org/abs/2411.01781v3 | mPrec | 80.6 |
3D Instance Segmentation | S3DIS | MSTA3D | https://arxiv.org/abs/2411.01781v3 | AP@50 | 70.0 |
3D Instance Segmentation | S3DIS | MaskGroup | https://arxiv.org/abs/2203.14662v1 | mRec | 69.6 |
3D Instance Segmentation | S3DIS | MaskGroup | https://arxiv.org/abs/2203.14662v1 | mPrec | 66.6 |
3D Instance Segmentation | S3DIS | MaskGroup | https://arxiv.org/abs/2203.14662v1 | AP@50 | 69.9 |
3D Instance Segmentation | S3DIS | SPFormer | https://arxiv.org/abs/2211.15766v1 | mRec | 71.1 |
3D Instance Segmentation | S3DIS | SPFormer | https://arxiv.org/abs/2211.15766v1 | mPrec | 74.0 |
3D Instance Segmentation | S3DIS | SPFormer | https://arxiv.org/abs/2211.15766v1 | AP@50 | 69.2 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mRec | 69.8 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mPrec | 75.3 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mCov | 69.3 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mWCov | 71.7 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | AP@50 | 68.9 |
3D Instance Segmentation | S3DIS | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP | 54.4 |
3D Instance Segmentation | S3DIS | SSTNet | https://arxiv.org/abs/2108.07478v1 | mRec | 73.4 |
3D Instance Segmentation | S3DIS | SSTNet | https://arxiv.org/abs/2108.07478v1 | mPrec | 73.5 |
3D Instance Segmentation | S3DIS | SSTNet | https://arxiv.org/abs/2108.07478v1 | AP@50 | 67.8 |
3D Instance Segmentation | S3DIS | SSTNet | https://arxiv.org/abs/2108.07478v1 | mAP | 54.1 |
3D Instance Segmentation | S3DIS | PointGroup | https://arxiv.org/abs/2004.01658v1 | mRec | 69.2 |
3D Instance Segmentation | S3DIS | PointGroup | https://arxiv.org/abs/2004.01658v1 | mPrec | 69.6 |
3D Instance Segmentation | S3DIS | PointGroup | https://arxiv.org/abs/2004.01658v1 | AP@50 | 64.0 |
3D Instance Segmentation | S3DIS | DKNet | https://arxiv.org/abs/2207.07372v2 | mRec | 71.1 |
3D Instance Segmentation | S3DIS | DKNet | https://arxiv.org/abs/2207.07372v2 | mPrec | 75.3 |
3D Instance Segmentation | S3DIS | DKNet | https://arxiv.org/abs/2207.07372v2 | mCov | 70.3 |
3D Instance Segmentation | S3DIS | DKNet | https://arxiv.org/abs/2207.07372v2 | mWCov | 72.8 |
3D Instance Segmentation | S3DIS | HAIS | https://arxiv.org/abs/2108.02350v1 | mRec | 69.4 |
3D Instance Segmentation | S3DIS | HAIS | https://arxiv.org/abs/2108.02350v1 | mPrec | 73.2 |
3D Instance Segmentation | S3DIS | HAIS | https://arxiv.org/abs/2108.02350v1 | mCov | 67.0 |
3D Instance Segmentation | S3DIS | HAIS | https://arxiv.org/abs/2108.02350v1 | mWCov | 70.4 |
3D Instance Segmentation | S3DIS | GICN | https://arxiv.org/abs/2007.09860v1 | mRec | 50.8 |
3D Instance Segmentation | S3DIS | GICN | https://arxiv.org/abs/2007.09860v1 | mPrec | 68.5 |
3D Instance Segmentation | S3DIS | JSNet | https://arxiv.org/abs/1912.09654v1 | mRec | 53.9 |
3D Instance Segmentation | S3DIS | JSNet | https://arxiv.org/abs/1912.09654v1 | mPrec | 66.9 |
3D Instance Segmentation | S3DIS | JSNet | https://arxiv.org/abs/1912.09654v1 | mCov | 54.1 |
3D Instance Segmentation | S3DIS | JSNet | https://arxiv.org/abs/1912.09654v1 | mWCov | 58 |
3D Instance Segmentation | S3DIS | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mRec | 64.1 |
3D Instance Segmentation | S3DIS | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mPrec | 66.7 |
3D Instance Segmentation | S3DIS | 3D-BoNet | https://arxiv.org/abs/1906.01140v2 | mRec | 47.6 |
3D Instance Segmentation | S3DIS | 3D-BoNet | https://arxiv.org/abs/1906.01140v2 | mPrec | 65.6 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mIoU | 61.1 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mRec | 50.8 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mAcc | 72.8 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mPrec | 64.2 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mCov | 54.5 |
3D Instance Segmentation | S3DIS | SASO | https://arxiv.org/abs/2006.15015v1 | mWCov | 58.3 |
3D Instance Segmentation | S3DIS | ASIS | http://arxiv.org/abs/1902.09852v2 | mRec | 47.5 |
3D Instance Segmentation | S3DIS | ASIS | http://arxiv.org/abs/1902.09852v2 | mPrec | 63.6 |
3D Instance Segmentation | S3DIS | PartNet | https://arxiv.org/abs/1903.00709v5 | mRec | 43.4% |
3D Instance Segmentation | S3DIS | PointCNN | http://arxiv.org/abs/1801.07791v5 | mIoU | 65.39% |
3D Instance Segmentation | S3DIS | PointCNN | http://arxiv.org/abs/1801.07791v5 | mAcc | 75.61 |
3D Instance Segmentation | ScanNet(v2) | Relation3D | http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html | mAP | 62.2 |
3D Instance Segmentation | ScanNet(v2) | Relation3D | http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html | mAP @ 50 | 81.6 |
3D Instance Segmentation | ScanNet(v2) | Relation3D | http://openaccess.thecvf.com//content/CVPR2025/html/Lu_Relation3D__Enhancing_Relation_Modeling_for_Point_Cloud_Instance_Segmentation_CVPR_2025_paper.html | mAP@25 | 90.1 |
3D Instance Segmentation | ScanNet(v2) | Spherical Mask | https://arxiv.org/abs/2312.11269v2 | mAP | 61.6 |
3D Instance Segmentation | ScanNet(v2) | Spherical Mask | https://arxiv.org/abs/2312.11269v2 | mAP @ 50 | 81.2 |
3D Instance Segmentation | ScanNet(v2) | Spherical Mask | https://arxiv.org/abs/2312.11269v2 | mAP@25 | 87.5 |
3D Instance Segmentation | ScanNet(v2) | BFL | https://arxiv.org/abs/2502.04139v1 | mAP | 60.6 |
3D Instance Segmentation | ScanNet(v2) | BFL | https://arxiv.org/abs/2502.04139v1 | mAP @ 50 | 81.0 |
3D Instance Segmentation | ScanNet(v2) | BFL | https://arxiv.org/abs/2502.04139v1 | mAP@25 | 88.2 |
3D Instance Segmentation | ScanNet(v2) | OneFromer3D | https://arxiv.org/abs/2311.14405v1 | mAP | 56.6 |
3D Instance Segmentation | ScanNet(v2) | OneFromer3D | https://arxiv.org/abs/2311.14405v1 | mAP @ 50 | 80.1 |
3D Instance Segmentation | ScanNet(v2) | OneFromer3D | https://arxiv.org/abs/2311.14405v1 | mAP@25 | 89.6 |
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