HyperAI超神经

Face Alignment On Cofw 68

评估指标

AUC@7 (box)

NME (box)

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
HRNetV2-W18	-	-	5.06	Deep High-Resolution Representation Learning for Visual Recognition
HG×1+SAAT	-	-	4.61	Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks
SLD	-	-	4.22	Structured Landmark Detection via Topology-Adapting Deep Graph Learning
GlomFace	-	-	4.21	Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
SPLT	-	-	4.10	Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
SPIGA	64.1	2.52	3.93	Shape Preserving Facial Landmarks with Graph Attention Networks
LUVLi	60.8	2.75	-	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

0 of 7 row(s) selected.

HyperAI超神经

Face Alignment On Cofw 68

评估指标

AUC@7 (box)

NME (box)

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
HRNetV2-W18	-	-	5.06	Deep High-Resolution Representation Learning for Visual Recognition
HG×1+SAAT	-	-	4.61	Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks
SLD	-	-	4.22	Structured Landmark Detection via Topology-Adapting Deep Graph Learning
GlomFace	-	-	4.21	Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture
SPLT	-	-	4.10	Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
SPIGA	64.1	2.52	3.93	Shape Preserving Facial Landmarks with Graph Attention Networks
LUVLi	60.8	2.75	-	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

0 of 7 row(s) selected.