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Face Alignment On Wfw Extra Data

Metrics

AUC@10 (inter-ocular)
FR@10 (inter-ocular)
NME (inter-ocular)

Results

Performance results of various models on this benchmark

Model Name
AUC@10 (inter-ocular)
FR@10 (inter-ocular)
NME (inter-ocular)
Paper TitleRepository
Awing57.192.844.36Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression-
SPLT59.502.764.14Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning-
VGG-F--4.57Pre-training strategies and datasets for facial representation learning-
AnchoFace57.692.964.32AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses-
ATF--4.49ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets-
SPIGA60.562.084.06Shape Preserving Facial Landmarks with Graph Attention Networks-
FaRL-B (epoch 16)61.161.763.96General Facial Representation Learning in a Visual-Linguistic Manner-
ADNet60.222.724.14ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging-
SH-FAN63.11.553.72Subpixel Heatmap Regression for Facial Landmark Localization-
LUVLi57.73.124.37LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood-
HIH60.502.604.08HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap-
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Face Alignment On Wfw Extra Data | SOTA | HyperAI