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 ⌀ |
|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Alignment | 300W | BarrelNet (ResNet-101) | https://arxiv.org/abs/2105.13150v2 | NME_inter-ocular (%, Challenge) | 4.6 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-ocular (%, Full) | 3.12 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-ocular (%, Common) | 2.71 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-ocular (%, Challenge) | 4.78 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-pupil (%, Full) | 4.37 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-pupil (%, Common) | 3.76 |
Facial Recognition and Modelling > Face Alignment | 300W | GRegNet + LRefNet | http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html | NME_inter-pupil (%, Challenge) | 6.89 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-ocular (%, Full) | 3.13 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-ocular (%, Common) | 2.69 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-ocular (%, Challenge) | 4.92 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-pupil (%, Full) | 4.39 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-pupil (%, Common) | 3.73 |
Facial Recognition and Modelling > Face Alignment | 300W | 3DDE | https://arxiv.org/abs/1902.01831v2 | NME_inter-pupil (%, Challenge) | 7.10 |
Facial Recognition and Modelling > Face Alignment | 300W | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME_inter-ocular (%, Full) | 3.17 |
Facial Recognition and Modelling > Face Alignment | 300W | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME_inter-ocular (%, Common) | 2.75 |
Facial Recognition and Modelling > Face Alignment | 300W | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME_inter-ocular (%, Challenge) | 4.89 |
Facial Recognition and Modelling > Face Alignment | 300W | SLPT | https://arxiv.org/abs/2203.06541v2 | NME_inter-ocular (%, Full) | 3.17 |
Facial Recognition and Modelling > Face Alignment | 300W | SLPT | https://arxiv.org/abs/2203.06541v2 | NME_inter-ocular (%, Common) | 2.75 |
Facial Recognition and Modelling > Face Alignment | 300W | SLPT | https://arxiv.org/abs/2203.06541v2 | NME_inter-ocular (%, Challenge) | 4.90 |
Facial Recognition and Modelling > Face Alignment | 300W | PIPNet (ResNet-101) | https://arxiv.org/abs/2003.03771v3 | NME_inter-ocular (%, Full) | 3.19 |
Facial Recognition and Modelling > Face Alignment | 300W | PIPNet (ResNet-101) | https://arxiv.org/abs/2003.03771v3 | NME_inter-ocular (%, Common) | 2.78 |
Facial Recognition and Modelling > Face Alignment | 300W | PIPNet (ResNet-101) | https://arxiv.org/abs/2003.03771v3 | NME_inter-ocular (%, Challenge) | 4.89 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-ocular (%, Full) | 3.24 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-ocular (%, Common) | 2.76 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-ocular (%, Challenge) | 5.22 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-pupil (%, Full) | 4.55 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-pupil (%, Common) | 3.83 |
Facial Recognition and Modelling > Face Alignment | 300W | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME_inter-pupil (%, Challenge) | 7.54 |
Facial Recognition and Modelling > Face Alignment | 300W | HG-HSLE | http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html | NME_inter-ocular (%, Full) | 3.28 |
Facial Recognition and Modelling > Face Alignment | 300W | HG-HSLE | http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html | NME_inter-ocular (%, Common) | 2.85 |
Facial Recognition and Modelling > Face Alignment | 300W | HG-HSLE | http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html | NME_inter-ocular (%, Challenge) | 5.03 |
Facial Recognition and Modelling > Face Alignment | 300W | SCC | https://arxiv.org/abs/2006.11697v1 | NME_inter-ocular (%, Full) | 3.28 |
Facial Recognition and Modelling > Face Alignment | 300W | SCC | https://arxiv.org/abs/2006.11697v1 | NME_inter-ocular (%, Common) | 2.88 |
Facial Recognition and Modelling > Face Alignment | 300W | SCC | https://arxiv.org/abs/2006.11697v1 | NME_inter-ocular (%, Challenge) | 4.93 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-ocular (%, Full) | 3.3 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-ocular (%, Common) | 2.85 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-ocular (%, Challenge) | 5.15 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-pupil (%, Full) | 4.64 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-pupil (%, Common) | 3.96 |
Facial Recognition and Modelling > Face Alignment | 300W | CHR2C | https://doi.org/10.1016/j.patrec.2019.10.012 | NME_inter-pupil (%, Challenge) | 7.44 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-ocular (%, Full) | 3.30 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-ocular (%, Common) | 2.93 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-ocular (%, Challenge) | 4.84 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-pupil (%, Full) | 4.63 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-pupil (%, Common) | 4.06 |
Facial Recognition and Modelling > Face Alignment | 300W | CNN-CRF | https://arxiv.org/abs/2010.09035v1 | NME_inter-pupil (%, Challenge) | 6.98 |
Facial Recognition and Modelling > Face Alignment | 300W | HR-Net | http://arxiv.org/abs/1904.04514v1 | NME_inter-ocular (%, Full) | 3.32 |
Facial Recognition and Modelling > Face Alignment | 300W | HR-Net | http://arxiv.org/abs/1904.04514v1 | NME_inter-ocular (%, Common) | 2.87 |
Facial Recognition and Modelling > Face Alignment | 300W | HR-Net | http://arxiv.org/abs/1904.04514v1 | NME_inter-ocular (%, Challenge) | 5.15 |
Facial Recognition and Modelling > Face Alignment | 300W | HRNet | https://arxiv.org/abs/1908.07919v2 | NME_inter-ocular (%, Full) | 3.32 |
Facial Recognition and Modelling > Face Alignment | 300W | HRNet | https://arxiv.org/abs/1908.07919v2 | NME_inter-ocular (%, Common) | 2.87 |
Facial Recognition and Modelling > Face Alignment | 300W | HRNet | https://arxiv.org/abs/1908.07919v2 | NME_inter-ocular (%, Challenge) | 5.15 |
Facial Recognition and Modelling > Face Alignment | 300W | DeCaFA | http://arxiv.org/abs/1904.02549v1 | NME_inter-ocular (%, Full) | 3.39 |
Facial Recognition and Modelling > Face Alignment | 300W | DeCaFA | http://arxiv.org/abs/1904.02549v1 | NME_inter-ocular (%, Common) | 2.93 |
Facial Recognition and Modelling > Face Alignment | 300W | DeCaFA | http://arxiv.org/abs/1904.02549v1 | NME_inter-ocular (%, Challenge) | 5.26 |
Facial Recognition and Modelling > Face Alignment | 300W | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_inter-ocular (%, Full) | 3.42 |
Facial Recognition and Modelling > Face Alignment | 300W | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_inter-ocular (%, Common) | 2.97 |
Facial Recognition and Modelling > Face Alignment | 300W | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_inter-ocular (%, Challenge) | 5.30 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-ocular (%, Full) | 3.44 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-ocular (%, Common) | 3.09 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-ocular (%, Challenge) | 4.88 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-pupil (%, Full) | 4.83 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-pupil (%, Common) | 4.29 |
Facial Recognition and Modelling > Face Alignment | 300W | DAN-Menpo | http://arxiv.org/abs/1706.01789v2 | NME_inter-pupil (%, Challenge) | 7.05 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-ocular (%, Full) | 3.49 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-ocular (%, Common) | 2.98 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-ocular (%, Challenge) | 5.19 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-pupil (%, Full) | 4.12 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-pupil (%, Common) | 3.42 |
Facial Recognition and Modelling > Face Alignment | 300W | LAB | http://arxiv.org/abs/1805.10483v1 | NME_inter-pupil (%, Challenge) | 6.98 |
Facial Recognition and Modelling > Face Alignment | 300W | LDDMM-Face | https://arxiv.org/abs/2108.00690v1 | NME_inter-ocular (%, Full) | 3.53 |
Facial Recognition and Modelling > Face Alignment | 300W | LDDMM-Face | https://arxiv.org/abs/2108.00690v1 | NME_inter-ocular (%, Common) | 3.07 |
Facial Recognition and Modelling > Face Alignment | 300W | LDDMM-Face | https://arxiv.org/abs/2108.00690v1 | NME_inter-ocular (%, Challenge) | 5.4 |
Facial Recognition and Modelling > Face Alignment | 300W | AnchorFace | https://arxiv.org/abs/2007.03221v3 | NME_inter-ocular (%, Full) | 3.72 |
Facial Recognition and Modelling > Face Alignment | 300W | AnchorFace | https://arxiv.org/abs/2007.03221v3 | NME_inter-ocular (%, Common) | 3.12 |
Facial Recognition and Modelling > Face Alignment | 300W | AnchorFace | https://arxiv.org/abs/2007.03221v3 | NME_inter-ocular (%, Challenge) | 6.19 |
Facial Recognition and Modelling > Face Alignment | 300W | EF-3ACR | https://arxiv.org/abs/2203.15835v2 | NME_inter-ocular (%, Full) | 3.75 |
Facial Recognition and Modelling > Face Alignment | 300W | EF-3ACR | https://arxiv.org/abs/2203.15835v2 | NME_inter-ocular (%, Common) | 3.36 |
Facial Recognition and Modelling > Face Alignment | 300W | EF-3ACR | https://arxiv.org/abs/2203.15835v2 | NME_inter-ocular (%, Challenge) | 5.36 |
Facial Recognition and Modelling > Face Alignment | 300W | 3FabRec | https://arxiv.org/abs/1911.10448v2 | NME_inter-ocular (%, Full) | 3.82 |
Facial Recognition and Modelling > Face Alignment | 300W | 3FabRec | https://arxiv.org/abs/1911.10448v2 | NME_inter-ocular (%, Common) | 3.36 |
Facial Recognition and Modelling > Face Alignment | 300W | 3FabRec | https://arxiv.org/abs/1911.10448v2 | NME_inter-ocular (%, Challenge) | 5.74 |
Facial Recognition and Modelling > Face Alignment | 300W | AVS | https://arxiv.org/abs/1908.06440v1 | NME_inter-ocular (%, Full) | 3.86 |
Facial Recognition and Modelling > Face Alignment | 300W | AVS | https://arxiv.org/abs/1908.06440v1 | NME_inter-ocular (%, Common) | 3.21 |
Facial Recognition and Modelling > Face Alignment | 300W | AVS | https://arxiv.org/abs/1908.06440v1 | NME_inter-ocular (%, Challenge) | 6.49 |
Facial Recognition and Modelling > Face Alignment | 300W | SCAF | https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36 | NME_inter-ocular (%, Full) | 3.95 |
Facial Recognition and Modelling > Face Alignment | 300W | SCAF | https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36 | NME_inter-ocular (%, Common) | 3.48 |
Facial Recognition and Modelling > Face Alignment | 300W | SCAF | https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36 | NME_inter-ocular (%, Challenge) | 5.83 |
Facial Recognition and Modelling > Face Alignment | 300W | SAN | http://arxiv.org/abs/1803.04108v4 | NME_inter-ocular (%, Full) | 3.98 |
Facial Recognition and Modelling > Face Alignment | 300W | SAN | http://arxiv.org/abs/1803.04108v4 | NME_inter-ocular (%, Common) | 3.34 |
Facial Recognition and Modelling > Face Alignment | 300W | SAN | http://arxiv.org/abs/1803.04108v4 | NME_inter-ocular (%, Challenge) | 6.60 |
Facial Recognition and Modelling > Face Alignment | 300W | LaplaceKL | https://arxiv.org/abs/1903.11633v2 | NME_inter-ocular (%, Full) | 4.01 |
Facial Recognition and Modelling > Face Alignment | 300W | LaplaceKL | https://arxiv.org/abs/1903.11633v2 | NME_inter-ocular (%, Common) | 3.28 |
Facial Recognition and Modelling > Face Alignment | 300W | LaplaceKL | https://arxiv.org/abs/1903.11633v2 | NME_inter-ocular (%, Challenge) | 7.01 |
Facial Recognition and Modelling > Face Alignment | 300W | MobileNetV2+KD-Loss | https://arxiv.org/abs/2111.07047v1 | NME_inter-ocular (%, Full) | 4.06 |
Facial Recognition and Modelling > Face Alignment | 300W | MobileNetV2+KD-Loss | https://arxiv.org/abs/2111.07047v1 | NME_inter-ocular (%, Common) | 3.56 |
Facial Recognition and Modelling > Face Alignment | 300W | MobileNetV2+KD-Loss | https://arxiv.org/abs/2111.07047v1 | NME_inter-ocular (%, Challenge) | 6.13 |
Facial Recognition and Modelling > Face Alignment | 300W | ODN | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html | NME_inter-ocular (%, Full) | 4.17 |
Facial Recognition and Modelling > Face Alignment | 300W | ODN | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html | NME_inter-ocular (%, Common) | 3.56 |
Facial Recognition and Modelling > Face Alignment | 300W | ODN | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html | NME_inter-ocular (%, Challenge) | 6.67 |
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