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 | AFLW-19 | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_diag (%, Frontal) | 0.90 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_box (%, Full) | 1.45 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | AUC_box@0.07 (%, Full) | 79.1 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LAB (w/ B) | http://arxiv.org/abs/1805.10483v1 | NME_diag (%, Full) | 1.25 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LAB (w/ B) | http://arxiv.org/abs/1805.10483v1 | NME_diag (%, Frontal) | 1.14 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_diag (%, Full) | 1.31 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_diag (%, Frontal) | 1.12 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_box (%, Full) | 2.14 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | AUC_box@0.07 (%, Full) | 70.0 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | DTLD+ | https://arxiv.org/abs/2208.10808v1 | NME_diag (%, Full) | 1.37 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | MHHN | https://arxiv.org/abs/2010.08722v1 | NME_diag (%, Full) | 1.38 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | MHHN | https://arxiv.org/abs/2010.08722v1 | NME_diag (%, Frontal) | 1.19 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME_diag (%, Full) | 1.39 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME_diag (%, Frontal) | 1.19 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME_box (%, Full) | 2.28 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LUVLi | https://arxiv.org/abs/2004.02980v1 | AUC_box@0.07 (%, Full) | 68.0 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | PIPNet (ResNet-101) | https://arxiv.org/abs/2003.03771v3 | NME_diag (%, Full) | 1.42 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | VGG-F | https://arxiv.org/abs/2103.16554v2 | NME_diag (%, Full) | 1.55 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME_diag (%, Full) | 1.55 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | AnchorFace | https://arxiv.org/abs/2007.03221v3 | NME_diag (%, Full) | 1.56 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | AnchorFace | https://arxiv.org/abs/2007.03221v3 | NME_diag (%, Frontal) | 1.38 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | HR-Net | http://arxiv.org/abs/1904.04514v1 | NME_diag (%, Full) | 1.57 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | HR-Net | http://arxiv.org/abs/1904.04514v1 | NME_diag (%, Frontal) | 1.46 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | Wing | http://arxiv.org/abs/1711.06753v5 | NME_diag (%, Full) | 1.65 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | Wing | http://arxiv.org/abs/1711.06753v5 | NME_box (%, Full) | 3.56 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | Wing | http://arxiv.org/abs/1711.06753v5 | AUC_box@0.07 (%, Full) | 53.5 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LAB (w/o B) | http://arxiv.org/abs/1805.10483v1 | NME_diag (%, Full) | 1.85 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LAB (w/o B) | http://arxiv.org/abs/1805.10483v1 | NME_diag (%, Frontal) | 1.62 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | DSRN | http://openaccess.thecvf.com/content_cvpr_2018/html/Miao_Direct_Shape_Regression_CVPR_2018_paper.html | NME_diag (%, Full) | 1.86 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SAN | http://arxiv.org/abs/1803.04108v4 | NME_diag (%, Full) | 1.91 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SAN | http://arxiv.org/abs/1803.04108v4 | NME_diag (%, Frontal) | 1.85 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SAN | http://arxiv.org/abs/1803.04108v4 | NME_box (%, Full) | 4.04 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | SAN | http://arxiv.org/abs/1803.04108v4 | AUC_box@0.07 (%, Full) | 54.0 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | DAC-CSR | http://arxiv.org/abs/1611.05396v2 | NME_diag (%, Full) | 2.21 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | DAC-CSR | http://arxiv.org/abs/1611.05396v2 | NME_diag (%, Frontal) | 1.81 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | CCL | http://openaccess.thecvf.com/content_cvpr_2016/html/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.html | NME_diag (%, Full) | 2.72 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | CCL | http://openaccess.thecvf.com/content_cvpr_2016/html/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.html | NME_diag (%, Frontal) | 2.17 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | CFSS | https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Zhu_Face_Alignment_by_2015_CVPR_paper.html | NME_diag (%, Full) | 3.92 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | CFSS | https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Zhu_Face_Alignment_by_2015_CVPR_paper.html | NME_diag (%, Frontal) | 2.68 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | 3FabRec | https://arxiv.org/abs/1911.10448v2 | NME_box (%, Full) | 1.84 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | LLL | https://arxiv.org/abs/1903.11633v2 | NME_box (%, Full) | 1.97 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | NME_box (%, Full) | 2.80 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | AUC_box@0.07 (%, Full) | 60.3 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-ocular (%, Full) | 2.87 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-ocular (%, Common) | 2.52 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-ocular (%, Challenge) | 4.32 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-pupil (%, Full) | 4.03 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-pupil (%, Common) | 3.5 |
Facial Recognition and Modelling > Face Alignment | 300W | STAR | https://arxiv.org/abs/2306.02763v1 | NME_inter-pupil (%, Challenge) | 6.22 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet-FE5 | https://arxiv.org/abs/2212.09525v1 | NME_inter-ocular (%, Full) | 2.87 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Full) | 2.88 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Common) | 2.50 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Challenge) | 4.42 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Full) | 4.05 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Common) | 3.46 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 64) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Challenge) | 6.38 |
Facial Recognition and Modelling > Face Alignment | 300W | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_inter-ocular (%, Full) | 2.89 |
Facial Recognition and Modelling > Face Alignment | 300W | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_inter-ocular (%, Common) | 2.51 |
Facial Recognition and Modelling > Face Alignment | 300W | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_inter-ocular (%, Challenge) | 4.47 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-ocular (%, Full) | 2.93 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-ocular (%, Common) | 2.53 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-ocular (%, Challenge) | 4.58 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-pupil (%, Full) | 4.08 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-pupil (%, Common) | 3.51 |
Facial Recognition and Modelling > Face Alignment | 300W | ADNet | https://arxiv.org/abs/2109.05721v2 | NME_inter-pupil (%, Challenge) | 6.47 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Full) | 2.93 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Common) | 2.56 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-ocular (%, Challenge) | 4.45 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Full) | 4.11 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Common) | 3.53 |
Facial Recognition and Modelling > Face Alignment | 300W | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_inter-pupil (%, Challenge) | 6.42 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-ocular (%, Full) | 2.93 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-ocular (%, Common) | 2.67 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-ocular (%, Challenge) | 3.99 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-pupil (%, Full) | 4.1 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-pupil (%, Common) | 3.7 |
Facial Recognition and Modelling > Face Alignment | 300W | PropNet | https://arxiv.org/abs/2006.14308v1 | NME_inter-pupil (%, Challenge) | 5.75 |
Facial Recognition and Modelling > Face Alignment | 300W | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_inter-ocular (%, Full) | 2.94 |
Facial Recognition and Modelling > Face Alignment | 300W | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_inter-ocular (%, Common) | 2.61 |
Facial Recognition and Modelling > Face Alignment | 300W | SHR-FAN | https://arxiv.org/abs/2111.02360v1 | NME_inter-ocular (%, Challenge) | 4.13 |
Facial Recognition and Modelling > Face Alignment | 300W | DTLD+ | https://arxiv.org/abs/2208.10808v1 | NME_inter-ocular (%, Full) | 2.96 |
Facial Recognition and Modelling > Face Alignment | 300W | DTLD+ | https://arxiv.org/abs/2208.10808v1 | NME_inter-ocular (%, Common) | 2.6 |
Facial Recognition and Modelling > Face Alignment | 300W | DTLD+ | https://arxiv.org/abs/2208.10808v1 | NME_inter-ocular (%, Challenge) | 4.48 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-ocular (%, Full) | 2.99 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-ocular (%, Common) | 2.59 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-ocular (%, Challenge) | 4.66 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-pupil (%, Full) | 4.20 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-pupil (%, Common) | 3.59 |
Facial Recognition and Modelling > Face Alignment | 300W | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME_inter-pupil (%, Challenge) | 6.73 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-ocular (%, Full) | 3.07 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-ocular (%, Common) | 2.72 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-ocular (%, Challenge) | 4.52 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-pupil (%, Full) | 4.31 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-pupil (%, Common) | 3.77 |
Facial Recognition and Modelling > Face Alignment | 300W | AWing | https://arxiv.org/abs/1904.07399v3 | NME_inter-pupil (%, Challenge) | 6.52 |
Facial Recognition and Modelling > Face Alignment | 300W | HIH | https://arxiv.org/abs/2104.03100v2 | NME_inter-ocular (%, Full) | 3.09 |
Facial Recognition and Modelling > Face Alignment | 300W | HIH | https://arxiv.org/abs/2104.03100v2 | NME_inter-ocular (%, Common) | 2.65 |
Facial Recognition and Modelling > Face Alignment | 300W | HIH | https://arxiv.org/abs/2104.03100v2 | NME_inter-ocular (%, Challenge) | 4.89 |
Facial Recognition and Modelling > Face Alignment | 300W | BarrelNet (ResNet-101) | https://arxiv.org/abs/2105.13150v2 | NME_inter-ocular (%, Full) | 3.09 |
Facial Recognition and Modelling > Face Alignment | 300W | BarrelNet (ResNet-101) | https://arxiv.org/abs/2105.13150v2 | NME_inter-ocular (%, Common) | 2.73 |
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