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 | WFW (Extra Data) | ADNet | https://arxiv.org/abs/2105.10697v1 | AUC@10 (inter-ocular) | 60.22 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | ADNet | https://arxiv.org/abs/2105.10697v1 | FR@10 (inter-ocular) | 2.72 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | SPLT | https://arxiv.org/abs/2203.06541v2 | NME (inter-ocular) | 4.14 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | SPLT | https://arxiv.org/abs/2203.06541v2 | AUC@10 (inter-ocular) | 59.50 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | SPLT | https://arxiv.org/abs/2203.06541v2 | FR@10 (inter-ocular) | 2.76 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | AnchoFace | https://arxiv.org/abs/2007.03221v3 | NME (inter-ocular) | 4.32 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | AnchoFace | https://arxiv.org/abs/2007.03221v3 | AUC@10 (inter-ocular) | 57.69 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | AnchoFace | https://arxiv.org/abs/2007.03221v3 | FR@10 (inter-ocular) | 2.96 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | Awing | https://arxiv.org/abs/1904.07399v3 | NME (inter-ocular) | 4.36 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | Awing | https://arxiv.org/abs/1904.07399v3 | AUC@10 (inter-ocular) | 57.19 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | Awing | https://arxiv.org/abs/1904.07399v3 | FR@10 (inter-ocular) | 2.84 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME (inter-ocular) | 4.37 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | LUVLi | https://arxiv.org/abs/2004.02980v1 | AUC@10 (inter-ocular) | 57.7 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | LUVLi | https://arxiv.org/abs/2004.02980v1 | FR@10 (inter-ocular) | 3.12 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME (inter-ocular) | 4.49 |
Facial Recognition and Modelling > Face Alignment | WFW (Extra Data) | VGG-F | https://arxiv.org/abs/2103.16554v2 | NME (inter-ocular) | 4.57 |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | MNN+OR (reannotated) | https://arxiv.org/abs/2202.02299v1 | Balanced NME (2D Sparse Alignment) | 2.58% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | SynergyNet-Reannotated | https://arxiv.org/abs/2110.09772v3 | Balanced NME (2D Sparse Alignment) | 2.65% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | JVCR | https://openreview.net/pdf?id=gafjGfv8uR | Balanced NME (2D Sparse Alignment) | 3.31% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | SynergyNet | https://arxiv.org/abs/2110.09772v3 | Balanced NME (2D Sparse Alignment) | 3.41% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | SynergyNet | https://arxiv.org/abs/2110.09772v3 | Mean NME(3D Dense Alignment) | 4.06% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | SADRNet | https://arxiv.org/abs/2106.03021v1 | Balanced NME (2D Sparse Alignment) | 3.46% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | SADRNet | https://arxiv.org/abs/2106.03021v1 | Mean NME(3D Dense Alignment) | 4.02% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DDFA_V2 | https://arxiv.org/abs/2009.09960v2 | Balanced NME (2D Sparse Alignment) | 3.51% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DDFA_V2 | https://arxiv.org/abs/2009.09960v2 | Mean NME(3D Dense Alignment) | 4.18% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 2DASL | https://arxiv.org/abs/1903.09359v2 | Balanced NME (2D Sparse Alignment) | 3.53% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | OpNet | https://arxiv.org/abs/2407.05357v3 | Balanced NME (2D Sparse Alignment) | 3.55% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | PRN | http://arxiv.org/abs/1803.07835v1 | Balanced NME (2D Sparse Alignment) | 3.62% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | PRN | http://arxiv.org/abs/1803.07835v1 | Mean NME(3D Dense Alignment) | 4.40% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DDFA | http://arxiv.org/abs/1804.01005v1 | Balanced NME (2D Sparse Alignment) | 3.79% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DDFA | http://arxiv.org/abs/1804.01005v1 | Mean NME(3D Dense Alignment) | 6.55% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DSTN | http://arxiv.org/abs/1707.05653v2 | Balanced NME (2D Sparse Alignment) | 4.49% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | DeFA | http://arxiv.org/abs/1709.01442v1 | Balanced NME (2D Sparse Alignment) | 4.50% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | DeFA | http://arxiv.org/abs/1709.01442v1 | Mean NME(3D Dense Alignment) | 6.04% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | 3DDFA + SDM | http://arxiv.org/abs/1511.07212v1 | Balanced NME (2D Sparse Alignment) | 4.94% |
Facial Recognition and Modelling > Face Alignment | AFLW2000-3D | DSFNet-f | https://arxiv.org/abs/2305.11522v1 | Mean NME(3D Dense Alignment) | 3.8% |
Facial Recognition and Modelling > Face Alignment | 300-VW (C) | 2D-FAN | http://arxiv.org/abs/1703.07332v3 | AUC0.07 | 64.1% |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | SH-FAN | https://arxiv.org/abs/2111.02360v1 | NME (box) | 2.47 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | SH-FAN | https://arxiv.org/abs/2111.02360v1 | AUC@7 | 64.9 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | LUVLI | https://arxiv.org/abs/2004.02980v1 | NME (box) | 2.57 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | LUVLI | https://arxiv.org/abs/2004.02980v1 | AUC@7 | 63.4 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | NME (box) | 2.73 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | AUC@7 | 60.1 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | 2D-FAN | http://arxiv.org/abs/1703.07332v3 | NME (box) | 2.95 |
Facial Recognition and Modelling > Face Alignment | COFW-68 (300WLP) | 2D-FAN | http://arxiv.org/abs/1703.07332v3 | AUC@7 | 57.5 |
Facial Recognition and Modelling > Face Alignment | 300W (Common) | SPIGA | https://arxiv.org/abs/2210.07233v1 | NME | 2.59 |
Facial Recognition and Modelling > Face Alignment | 300W (Common) | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME | 2.76 |
Facial Recognition and Modelling > Face Alignment | Menpo | LUVLi | https://arxiv.org/abs/2004.02980v1 | NME (box) | 2.04 |
Facial Recognition and Modelling > Face Alignment | Menpo | LUVLi | https://arxiv.org/abs/2004.02980v1 | AUC (box) | 71.9 |
Facial Recognition and Modelling > Face Alignment | AFLW-PIFA (34 points) | Face alignment | https://www.adrianbulat.com/downloads/BMVC16/cale_bmvc16.pdf | NME | 2.96% |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | SH-FAN | https://arxiv.org/abs/2111.02360v1 | NME (inter-ocular) | 2.94 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | SH-FAN | https://arxiv.org/abs/2111.02360v1 | NME (bbox) | 2.04 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | SH-FAN | https://arxiv.org/abs/2111.02360v1 | AUC@7 (bbox) | 71.1 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | LUVLI | https://arxiv.org/abs/2004.02980v1 | NME (bbox) | 2.10 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | LUVLI | https://arxiv.org/abs/2004.02980v1 | AUC@7 (bbox) | 70.2 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | NME (bbox) | 2.21 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | KDN | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html | AUC@7 (bbox) | 68.3 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | 2D-FAN | http://arxiv.org/abs/1703.07332v3 | NME (bbox) | 2.32 |
Facial Recognition and Modelling > Face Alignment | 300W Split 2 (300W-LP) | 2D-FAN | http://arxiv.org/abs/1703.07332v3 | AUC@7 (bbox) | 66.5 |
Facial Recognition and Modelling > Face Alignment | COFW | FiFA | https://arxiv.org/abs/2402.15044v1 | NME (inter-ocular) | 2.96 |
Facial Recognition and Modelling > Face Alignment | COFW | SH-FAN | https://arxiv.org/abs/2111.02360v1 | NME (inter-ocular) | 3.02% |
Facial Recognition and Modelling > Face Alignment | COFW | DTLD+ | https://arxiv.org/abs/2208.10808v1 | NME (inter-ocular) | 3.02% |
Facial Recognition and Modelling > Face Alignment | COFW | PIPNet (ResNet-101) | https://arxiv.org/abs/2003.03771v3 | NME (inter-ocular) | 3.08% |
Facial Recognition and Modelling > Face Alignment | COFW | BarrelNet (ResNet-101) | https://arxiv.org/abs/2105.13150v2 | NME (inter-ocular) | 3.1% |
Facial Recognition and Modelling > Face Alignment | COFW | STAR | https://arxiv.org/abs/2306.02763v1 | NME (inter-ocular) | 3.21% |
Facial Recognition and Modelling > Face Alignment | COFW | STAR | https://arxiv.org/abs/2306.02763v1 | NME (inter-pupil) | 4.62 |
Facial Recognition and Modelling > Face Alignment | COFW | HIH | https://arxiv.org/abs/2104.03100v2 | NME (inter-ocular) | 3.21% |
Facial Recognition and Modelling > Face Alignment | COFW | HIH w. MSE(2 stack) | https://openaccess.thecvf.com/content/ICCV2021W/MFR/html/Lan_Revisting_Quantization_Error_in_Face_Alignment_ICCVW_2021_paper.html | NME (inter-ocular) | 3.28% |
Facial Recognition and Modelling > Face Alignment | COFW | SLPT | https://arxiv.org/abs/2203.06541v2 | NME (inter-ocular) | 3.32 |
Facial Recognition and Modelling > Face Alignment | COFW | SLPT | https://arxiv.org/abs/2203.06541v2 | NME (inter-pupil) | 4.79 |
Facial Recognition and Modelling > Face Alignment | COFW | Ours (VGG-F) | https://arxiv.org/abs/2103.16554v2 | NME (inter-ocular) | 3.32 |
Facial Recognition and Modelling > Face Alignment | COFW | ATF | https://dl.acm.org/doi/10.1145/3394171.3414037 | NME (inter-ocular) | 3.32% |
Facial Recognition and Modelling > Face Alignment | COFW | HRNet | http://arxiv.org/abs/1904.04514v1 | NME (inter-ocular) | 3.45% |
Facial Recognition and Modelling > Face Alignment | COFW | HRNet | https://arxiv.org/abs/1908.07919v2 | NME (inter-ocular) | 3.45 |
Facial Recognition and Modelling > Face Alignment | COFW | EF-3ACR | https://arxiv.org/abs/2203.15835v2 | NME (inter-ocular) | 3.47% |
Facial Recognition and Modelling > Face Alignment | COFW | SCC | https://arxiv.org/abs/2006.11697v1 | NME (inter-ocular) | 3.63% |
Facial Recognition and Modelling > Face Alignment | COFW | PropNet | https://arxiv.org/abs/2006.14308v1 | NME (inter-ocular) | 3.71% |
Facial Recognition and Modelling > Face Alignment | COFW | EfficientNet | https://arxiv.org/abs/2111.07047v1 | NME (inter-ocular) | 3.81% |
Facial Recognition and Modelling > Face Alignment | COFW | LAB (w/ B) | http://arxiv.org/abs/1805.10483v1 | NME (inter-ocular) | 3.92% |
Facial Recognition and Modelling > Face Alignment | COFW | MobileNetV2+KD-Loss | https://arxiv.org/abs/2111.07047v1 | NME (inter-ocular) | 4.11% |
Facial Recognition and Modelling > Face Alignment | COFW | Wing (Feng et al., 2018) | http://arxiv.org/abs/1711.06753v5 | NME (inter-ocular) | 5.07 |
Facial Recognition and Modelling > Face Alignment | COFW | LAB | http://arxiv.org/abs/1805.10483v1 | NME (inter-ocular) | 5.58% |
Facial Recognition and Modelling > Face Alignment | COFW | PCD-CNNCVPR 18 | http://arxiv.org/abs/1802.06713v3 | NME (inter-ocular) | 5.77% |
Facial Recognition and Modelling > Face Alignment | COFW | MNN+OR (Inter-pupils Norm) | https://arxiv.org/abs/2202.02299v1 | NME (inter-pupil) | 5.04% |
Facial Recognition and Modelling > Face Alignment | COFW | MNN+OR (Inter-pupils Norm) | https://arxiv.org/abs/2202.02299v1 | Recall at 80% precision (Landmarks Visibility) | 72.12 |
Facial Recognition and Modelling > Face Alignment | COFW | 3DDE (Inter-pupil Norm) | https://arxiv.org/abs/1902.01831v2 | NME (inter-pupil) | 5.11% |
Facial Recognition and Modelling > Face Alignment | COFW | 3DDE (Inter-pupil Norm) | https://arxiv.org/abs/1902.01831v2 | Recall at 80% precision (Landmarks Visibility) | 63.89 |
Facial Recognition and Modelling > Face Alignment | COFW | CHR2C (Inter-pupils Norm) | https://doi.org/10.1016/j.patrec.2019.10.012 | NME (inter-pupil) | 5.09% |
Facial Recognition and Modelling > Face Alignment | COFW | DCFE | http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html | NME (inter-pupil) | 5.27% |
Facial Recognition and Modelling > Face Alignment | COFW | DenseU-Net + Dual Transformer | http://arxiv.org/abs/1812.01936v1 | NME (inter-pupil) | 5.55% |
Facial Recognition and Modelling > Face Alignment | COFW | MNN (Inter-pupil Norm) | https://arxiv.org/abs/2202.02299v1 | NME (inter-pupil) | 5.65% |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_diag (%, Full) | 0.92 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_diag (%, Frontal) | 0.80 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FiFA | https://arxiv.org/abs/2402.15044v1 | NME_box (%, Full) | 1.31 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FiFA | https://arxiv.org/abs/2402.15044v1 | AUC_box@0.07 (%, Full) | 81.8 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_diag (%, Full) | 0.943 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_diag (%, Frontal) | 0.821 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | NME_box (%, Full) | 1.334 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FaRL-B (epoch 16) | https://arxiv.org/abs/2112.03109v3 | AUC_box@0.07 (%, Full) | 81.3 |
Facial Recognition and Modelling > Face Alignment | AFLW-19 | FASE | https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1 | NME_diag (%, Full) | 1.02 |
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