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Facial Landmark Detection On 300W

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NME

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このベンチマークにおける各モデルのパフォーマンス結果

モデル名
NME
Paper TitleRepository
CNN-CRF (Inter-ocular Norm)3.30Deep Structured Prediction for Facial Landmark Detection
CFSS5.76Face Alignment Across Large Poses: A 3D Solution-
D-ViT2.85Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection-
3DDE (Inter-ocular Norm)3.13Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
SAN GT3.98Style Aggregated Network for Facial Landmark Detection
FPN-FacePoseNet: Making a Case for Landmark-Free Face Alignment
Pose-Invariant6.30Pose-Invariant Face Alignment with a Single CNN-
AnchorFace3.12AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
CHR2C (Inter-ocular Norm)3.3Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection
Adaloss3.31Adaloss: Adaptive Loss Function for Landmark Localization
SPIGA (Inter-ocular Norm)2.99Shape Preserving Facial Landmarks with Graph Attention Networks
DCFE (Inter-ocular Norm)3.24A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment-
FiFA2.89Fiducial Focus Augmentation for Facial Landmark Detection-
3DDFA7.01Face Alignment Across Large Poses: A 3D Solution-
TS33.49Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
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