Face Alignment On Cofw

评估指标

NME (inter-ocular)

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
PCD-CNNCVPR 18	5.77%	Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment	-
LAB	5.58%	Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wing (Feng et al., 2018)	5.07	Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
MobileNetV2+KD-Loss	4.11%	Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
LAB (w/ B)	3.92%	Look at Boundary: A Boundary-Aware Face Alignment Algorithm
EfficientNet	3.81%	Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
PropNet	3.71%	PropagationNet: Propagate Points to Curve to Learn Structure Information	-
SCC	3.63%	Fast and Accurate: Structure Coherence Component for Face Alignment	-
EF-3ACR	3.47%	ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment
HRNet	3.45	Deep High-Resolution Representation Learning for Visual Recognition
HRNet	3.45%	High-Resolution Representations for Labeling Pixels and Regions
SLPT	3.32	Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
Ours (VGG-F)	3.32	Pre-training strategies and datasets for facial representation learning
ATF	3.32%	ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets	-
HIH w. MSE(2 stack)	3.28%	Revisiting Quantization Error in Face Alignment	-
STAR	3.21%	STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
HIH	3.21%	HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
BarrelNet (ResNet-101)	3.1%	When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model	-
PIPNet (ResNet-101)	3.08%	Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
DTLD+	3.02%	Towards Accurate Facial Landmark Detection via Cascaded Transformers	-

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