Face Alignment On 300W

评估指标

NME_inter-ocular (%, Challenge)
NME_inter-ocular (%, Common)
NME_inter-ocular (%, Full)
NME_inter-pupil (%, Challenge)
NME_inter-pupil (%, Common)
NME_inter-pupil (%, Full)

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
ASMNet8.24.825.50---ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
3DDFA8.075.095.6310.596.157.01Face Alignment in Full Pose Range: A 3D Total Solution
RCN7.784.204.90---Improving Landmark Localization with Semi-Supervised Learning-
MobileNetV27.353.884.59---ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation
LaplaceKL7.013.284.01---Laplace Landmark Localization-
ODN6.673.564.17---Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks-
SAN6.603.343.98---Style Aggregated Network for Facial Landmark Detection
AVS6.493.213.86---Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
AnchorFace6.193.123.72---AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
MobileNetV2+KD-Loss6.133.564.06---Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
SCAF5.833.483.95---SCAF: Skip-Connections in Auto-encoder for Face alignment with few annotated data-
3FabRec5.743.363.82---3FabRec: Fast Few-shot Face alignment by Reconstruction
LDDMM-Face5.43.073.53---LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment-
EF-3ACR5.363.363.75---ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
FASE5.302.973.42---Exploring StyleGAN Latent Space for Face Alignment with Limited Training Data-
DeCaFA5.262.933.39---DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild-
DCFE5.222.763.247.543.834.55A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment-
LAB5.192.983.496.983.424.12Look at Boundary: A Boundary-Aware Face Alignment Algorithm
CHR2C5.152.853.37.443.964.64Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection-
HRNet5.152.873.32---Deep High-Resolution Representation Learning for Visual Recognition
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Face Alignment On 300W | SOTA | HyperAI超神经