Face Alignment On Cofw
المقاييس
NME (inter-ocular)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | NME (inter-ocular) |
---|---|
190807919 | 3.45 |
sparse-local-patch-transformer-for-robust | 3.32 |
wing-loss-for-robust-facial-landmark | 5.07 |
pixel-in-pixel-net-towards-efficient-facial | 3.08% |
stacked-dense-u-nets-with-dual-transformers | - |
towards-accurate-facial-landmark-detection-1 | 3.02% |
facial-landmark-points-detection-using | 4.11% |
cascade-of-encoder-decoder-cnns-with-learned | - |
look-at-boundary-a-boundary-aware-face | 3.92% |
look-at-boundary-a-boundary-aware-face | 5.58% |
pre-training-strategies-and-datasets-for | 3.32 |
atf-towards-robust-face-alignment-via | 3.32% |
multi-task-head-pose-estimation-in-the-wild-1 | - |
propagationnet-propagate-points-to-curve-to-1 | 3.71% |
star-loss-reducing-semantic-ambiguity-in-1 | 3.21% |
when-liebig-s-barrel-meets-facial-landmark | 3.1% |
fiducial-focus-augmentation-for-facial | 2.96 |
acr-loss-adaptive-coordinate-based-regression | 3.47% |
fast-and-accurate-structure-coherence | 3.63% |
a-deeply-initialized-coarse-to-fine-ensemble | - |
high-resolution-representations-for-labeling | 3.45% |
revisiting-quantization-error-in-face | 3.28% |
face-alignment-using-a-3d-deeply-initialized | - |
facial-landmark-points-detection-using | 3.81% |
subpixel-heatmap-regression-for-facial | 3.02% |
multi-task-head-pose-estimation-in-the-wild-1 | - |
disentangling-3d-pose-in-a-dendritic-cnn-for | 5.77% |
hih-towards-more-accurate-face-alignment-via | 3.21% |