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SOTA
Face Alignment
Face Alignment On Aflw 19
Face Alignment On Aflw 19
평가 지표
NME_diag (%, Full)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
NME_diag (%, Full)
Paper Title
Repository
VGG-F
1.55
Pre-training strategies and datasets for facial representation learning
DTLD+
1.37
Towards Accurate Facial Landmark Detection via Cascaded Transformers
-
CCL
2.72
Unconstrained Face Alignment via Cascaded Compositional Learning
-
ATF
1.55
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets
-
LAB (w/ B)
1.25
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
FaRL-B (epoch 16)
0.943
General Facial Representation Learning in a Visual-Linguistic Manner
SAN
1.91
Style Aggregated Network for Facial Landmark Detection
Wing
1.65
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
PIPNet (ResNet-101)
1.42
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
CFSS
3.92
Face alignment by coarse-to-fine shape searching
SHR-FAN
1.31
Subpixel Heatmap Regression for Facial Landmark Localization
-
LLL
-
Laplace Landmark Localization
-
MHHN
1.38
Robust Face Alignment by Multi-order High-precision Hourglass Network
-
DAC-CSR
2.21
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting
-
LUVLi
1.39
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
DSRN
1.86
Direct Shape Regression Networks for End-to-End Face Alignment
-
HR-Net
1.57
High-Resolution Representations for Labeling Pixels and Regions
FiFA
0.92
Fiducial Focus Augmentation for Facial Landmark Detection
-
AnchorFace
1.56
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
LAB (w/o B)
1.85
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
0 of 23 row(s) selected.
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