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 > Age Estimation > Few-shot Age Estimation | MORPH Album2 | OrdinalCLIP | https://arxiv.org/abs/2206.02338v2 | MAE (4 shot) | 3.55 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | OrdinalCLIP | https://arxiv.org/abs/2206.02338v2 | MAE (8 shot) | 3.31 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | OrdinalCLIP | https://arxiv.org/abs/2206.02338v2 | MAE (16 shot) | 3.07 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | CoOp | https://arxiv.org/abs/2109.01134v6 | MAE | 5.09 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | CoOp | https://arxiv.org/abs/2109.01134v6 | MAE (2 shot) | 4.50 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | CoOp | https://arxiv.org/abs/2109.01134v6 | MAE (4 shot) | 3.81 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | CoOp | https://arxiv.org/abs/2109.01134v6 | MAE (8 shot) | 3.57 |
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation | MORPH Album2 | CoOp | https://arxiv.org/abs/2109.01134v6 | MAE (16 shot) | 3.23 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | PRN | http://arxiv.org/abs/1803.07835v1 | Mean NME | 3.7551% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | VRN-Guided | http://arxiv.org/abs/1703.07834v2 | Mean NME | 5.2667% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | 3DDFA | http://arxiv.org/abs/1511.07212v1 | Mean NME | 6.3833% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | GANFit | http://arxiv.org/abs/1902.05978v2 | Average 3D Error | 0.95 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Unsupervised-3DMMR | http://arxiv.org/abs/1806.06098v1 | Average 3D Error | 1.50 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | itwmm | http://arxiv.org/abs/1701.05360v1 | Average 3D Error | 1.82 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | 3DMM-CNN | http://arxiv.org/abs/1612.04904v1 | Average 3D Error | 1.93 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | ASM | https://arxiv.org/abs/2304.09423v3 | RMSE Cooperative | 1.34 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | ASM | https://arxiv.org/abs/2304.09423v3 | RMSE Indoor | 1.53 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Multi-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Cooperative | 1.43 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Multi-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Indoor | 1.42 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Multi-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Outdoor | 1.42 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Deng | https://arxiv.org/abs/1903.08527v2 | RMSE Cooperative | 1.60 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Deng | https://arxiv.org/abs/1903.08527v2 | RMSE Indoor | 1.61 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Single-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Cooperative | 1.64 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Single-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Indoor | 1.62 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | DenseLandmarks (Single-view) | https://arxiv.org/abs/2204.02776v2 | RMSE Outdoor | 1.61 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Deep3DFaceReconstruction | https://arxiv.org/abs/1903.08527v2 | RMSE Cooperative | 1.66 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Deep3DFaceReconstruction | https://arxiv.org/abs/1903.08527v2 | RMSE Indoor | 1.66 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Deep3DFaceReconstruction | https://arxiv.org/abs/1903.08527v2 | RMSE Outdoor | 1.69 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Piotraschke and Blanz | http://openaccess.thecvf.com/content_cvpr_2016/html/Piotraschke_Automated_3D_Face_CVPR_2016_paper.html | RMSE Cooperative | 1.68 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Piotraschke and Blanz | http://openaccess.thecvf.com/content_cvpr_2016/html/Piotraschke_Automated_3D_Face_CVPR_2016_paper.html | RMSE Indoor | 1.67 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Genova et al. | http://arxiv.org/abs/1806.06098v1 | RMSE Cooperative | 1.78 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Genova et al. | http://arxiv.org/abs/1806.06098v1 | RMSE Indoor | 1.78 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Genova et al. | http://arxiv.org/abs/1806.06098v1 | RMSE Outdoor | 1.76 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Tran et al. | http://arxiv.org/abs/1612.04904v1 | RMSE Cooperative | 1.97 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Tran et al. | http://arxiv.org/abs/1612.04904v1 | RMSE Indoor | 2.03 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | Tran et al. | http://arxiv.org/abs/1612.04904v1 | RMSE Outdoor | 1.93 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Florence | 3DDFA_V2 | https://arxiv.org/abs/2009.09960v2 | Mean NME | 3.56 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | SADRNet | https://arxiv.org/abs/2106.03021v1 | Mean NME | 3.25% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | VGG-F | https://arxiv.org/abs/2103.16554v2 | Mean NME | 3.42% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | B-spline FFD | https://arxiv.org/abs/2105.14857v2 | Mean NME | 3.51% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | 3DDFA-V2 | https://arxiv.org/abs/2009.09960v2 | Mean NME | 3.56% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | PRN | http://arxiv.org/abs/1803.07835v1 | Mean NME | 3.9625% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | 3DDFA | http://arxiv.org/abs/1511.07212v1 | Mean NME | 5.3695% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | DeFA | http://arxiv.org/abs/1709.01442v1 | Mean NME | 5.6454% |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | AFLW2000-3D | DSFNet-is | https://arxiv.org/abs/2305.11522v1 | Mean NME | 3.16 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Stirling-LQ (FG2018 3D face reconstruction challenge) | DECA | https://arxiv.org/abs/2012.04012v2 | Mean Reconstruction Error (mm) | 1.91 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Stirling-LQ (FG2018 3D face reconstruction challenge) | RingNet | https://arxiv.org/abs/1905.06817v1 | Mean Reconstruction Error (mm) | 2.08 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Stirling-LQ (FG2018 3D face reconstruction challenge) | 3DDFA_V2 | https://arxiv.org/abs/2009.09960v2 | Mean Reconstruction Error (mm) | 2.10 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | Stirling-LQ (FG2018 3D face reconstruction challenge) | PRNet | http://arxiv.org/abs/1803.07835v1 | Mean Reconstruction Error (mm) | 2.38 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | !(()&&!|*|*| | po | http://arxiv.org/abs/1612.00593v2 | 0L | po |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-f | https://arxiv.org/abs/2303.11225v2 | @nose | 1.036 (±0.280) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-f | https://arxiv.org/abs/2303.11225v2 | @mouth | 1.450 (±0.413) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-f | https://arxiv.org/abs/2303.11225v2 | @forehead | 1.324 (±0.334) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-f | https://arxiv.org/abs/2303.11225v2 | @cheek | 1.291 (±0.362) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-f | https://arxiv.org/abs/2303.11225v2 | all | 1.275 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-c | https://arxiv.org/abs/2303.11225v2 | @nose | 1.054 (±0.317) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-c | https://arxiv.org/abs/2303.11225v2 | @mouth | 1.461 (±0.430) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-c | https://arxiv.org/abs/2303.11225v2 | @forehead | 1.331 (±0.347) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-c | https://arxiv.org/abs/2303.11225v2 | @cheek | 1.342 (±0.384) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HiFace-c | https://arxiv.org/abs/2303.11225v2 | all | 1.297 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | FFHQ-UV | https://arxiv.org/abs/2211.13874v2 | @nose | 1.681 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | FFHQ-UV | https://arxiv.org/abs/2211.13874v2 | @mouth | 1.339 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | FFHQ-UV | https://arxiv.org/abs/2211.13874v2 | @forehead | 1.631 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | FFHQ-UV | https://arxiv.org/abs/2211.13874v2 | @cheek | 0.943 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | FFHQ-UV | https://arxiv.org/abs/2211.13874v2 | all | 1.399 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | 3DDFA-v3 | https://arxiv.org/abs/2312.00311v3 | @nose | 1.584 (±0.308) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | 3DDFA-v3 | https://arxiv.org/abs/2312.00311v3 | @mouth | 1.237 (±0.375) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | 3DDFA-v3 | https://arxiv.org/abs/2312.00311v3 | @forehead | 1.809 (±0.394) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | 3DDFA-v3 | https://arxiv.org/abs/2312.00311v3 | @cheek | 1.110 (±0.328) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | 3DDFA-v3 | https://arxiv.org/abs/2312.00311v3 | all | 1.435 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MoSAR | https://arxiv.org/abs/2312.13091v2 | @nose | 1.499 (±0.366) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MoSAR | https://arxiv.org/abs/2312.13091v2 | @mouth | 1.424 (±0.462) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MoSAR | https://arxiv.org/abs/2312.13091v2 | @forehead | 1.950 (±0.559) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MoSAR | https://arxiv.org/abs/2312.13091v2 | @cheek | 1.128 (±0.303) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MoSAR | https://arxiv.org/abs/2312.13091v2 | all | 1.500 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HRN | https://arxiv.org/abs/2302.14434v2 | @nose | 1.722 (±0.330) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HRN | https://arxiv.org/abs/2302.14434v2 | @mouth | 1.357 (±0.523) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HRN | https://arxiv.org/abs/2302.14434v2 | @forehead | 1.995 (±0.476) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HRN | https://arxiv.org/abs/2302.14434v2 | @cheek | 1.072 (±0.333) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | HRN | https://arxiv.org/abs/2302.14434v2 | all | 1.537 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | Deep3D | https://arxiv.org/abs/1903.08527v2 | @nose | 1.719 (±0.354) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | Deep3D | https://arxiv.org/abs/1903.08527v2 | @mouth | 1.368 (±0.439) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | Deep3D | https://arxiv.org/abs/1903.08527v2 | @forehead | 2.015 (±0.449) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | Deep3D | https://arxiv.org/abs/1903.08527v2 | @cheek | 1.528 (±0.501) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | Deep3D | https://arxiv.org/abs/1903.08527v2 | all | 1.657 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | AlbedoGAN | https://arxiv.org/abs/2304.12483v3 | @nose | 1.656 (±0.374) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | AlbedoGAN | https://arxiv.org/abs/2304.12483v3 | @mouth | 2.087 (±0.839) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | AlbedoGAN | https://arxiv.org/abs/2304.12483v3 | @forehead | 2.102 (±0.512) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | AlbedoGAN | https://arxiv.org/abs/2304.12483v3 | @cheek | 1.141 (±0.303) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | AlbedoGAN | https://arxiv.org/abs/2304.12483v3 | all | 1.746 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MGCNet | https://arxiv.org/abs/2007.12494v1 | @nose | 1.827 (±0.383) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MGCNet | https://arxiv.org/abs/2007.12494v1 | @mouth | 1.409 (±0.418) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MGCNet | https://arxiv.org/abs/2007.12494v1 | @forehead | 2.248 (±0.508) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MGCNet | https://arxiv.org/abs/2007.12494v1 | @cheek | 1.665 (±0.644) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | MGCNet | https://arxiv.org/abs/2007.12494v1 | all | 1.787 |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | GANFit | http://arxiv.org/abs/1902.05978v2 | @nose | 1.928 (±0.490) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | GANFit | http://arxiv.org/abs/1902.05978v2 | @mouth | 1.812 (±0.544) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | GANFit | http://arxiv.org/abs/1902.05978v2 | @forehead | 2.402 (±0.545) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | GANFit | http://arxiv.org/abs/1902.05978v2 | @cheek | 1.329 (±0.504) |
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction | REALY | GANFit | http://arxiv.org/abs/1902.05978v2 | all | 1.868 |
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