SOTAVerified

Facial Landmark Detection

Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation.

( Image credit: Style Aggregated Network for Facial Landmark Detection )

Papers

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Showing 51–100 of 139 papers

TitleStatusHype
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network—0
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond—0
Quantum-Assisted Support Vector Regression—0
Facial Landmark Points Detection Using Knowledge Distillation-Based Neural NetworksCode0
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition—0
DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis—0
Zoo-Tuning: Adaptive Transfer from a Zoo of Models—0
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model—0
Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal—0
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA—0
Modeling the Nonsmoothness of Modern Neural Networks—0
Fast Facial Landmark Detection and Applications: A Survey—0
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial AttacksCode0
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark DetectionCode0
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network—0
Gaussian Vector: An Efficient Solution for Facial Landmark Detection—0
The Blessing and the Curse of the Noise behind Facial Landmark Annotations—0
Multi-spectral Facial Landmark Detection—0
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection—0
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition—0
3FabRec: Fast Few-Shot Face Alignment by Reconstruction—0
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking—0
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence—0
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification—0
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach—0
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces—0
Learning to Impute: A General Framework for Semi-supervised LearningCode0
2D Wasserstein Loss for Robust Facial Landmark Detection—0
3FabRec: Fast Few-shot Face alignment by ReconstructionCode0
Facial Landmark Correlation Analysis—0
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred VideosCode0
Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks DetectionCode0
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble—0
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis—0
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style TranslationCode0
Unsupervised Learning of Landmarks by Descriptor Vector ExchangeCode0
MobileFAN: Transferring Deep Hidden Representation for Face Alignment—0
Adaloss: Adaptive Loss Function for Landmark LocalizationCode0
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos—0
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks—0
Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia—0
Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques—0
Laplace Landmark Localization—0
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection—0
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parametersCode0
Face Alignment using a 3D Deeply-initialized Ensemble of Regression TreesCode0
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models—0
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring—0
Facial Expression Recognition using Facial Landmark Detection and Feature Extraction via Neural Networks—0
Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?Code0
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All datasets300WCOCO-WholeBodyAFLW-FullAFLW-FrontCatFLWWFLW300-VW (C)300W (Full)COFWAFLW2000-3D

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13DDFANME7.01—Unverified
2Pose-InvariantNME6.3—Unverified
3CFSSNME5.76—Unverified
4SAN GTNME3.98—Unverified
5TS3NME3.49—Unverified
6AdalossNME3.31—Unverified
7CHR2C (Inter-ocular Norm)NME3.3—Unverified
8CNN-CRF (Inter-ocular Norm)NME3.3—Unverified
9DCFE (Inter-ocular Norm)NME3.24—Unverified
103DDE (Inter-ocular Norm)NME3.13—Unverified
#ModelMetricClaimedVerifiedStatus
1HPRNet (Hourglass-104)keypoint AP75.4—Unverified
2HPRNet (DLA)keypoint AP74.6—Unverified
3HPRNet (Hourglass-104)keypoint AP59.4—Unverified
4HPRNet (DLA)keypoint AP55.2—Unverified
5HPRNet (Hourglass-104)keypoint AP50.4—Unverified
6HPRNet (DLA)keypoint AP47—Unverified
#ModelMetricClaimedVerifiedStatus
1DCFE (Box height Norm, 19 landmarks - no earlobs)Mean NME 2.17—Unverified
23DDE (Box height Norm, 19 landmarks - no earlobs)Mean NME2.01—Unverified
3SANMean NME 1.91—Unverified
4AnchorFaceMean NME 1.56—Unverified
5FiFAMean NME 0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1SANMean NME 1.85—Unverified
2AnchorFaceMean NME1.38—Unverified
3FiFAMean NME0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ELD (MobileNetV2)NME3.09—Unverified
2ELD (EfficientNetV2B0)NME2.98—Unverified
3ELD (EfficientNetV2S)NME2.83—Unverified
#ModelMetricClaimedVerifiedStatus
1ELD (EfficientNetV2B1)NME4.65—Unverified
2FiFANME (inter-ocular)3.89—Unverified
3D-ViTNME3.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CPM+SBR+PAMAUC0.08 private59.39—Unverified
2CPM+SBRAUC0.08 private58.22—Unverified
#ModelMetricClaimedVerifiedStatus
1AnchorFaceMean NME 3.72—Unverified
2TS3Mean NME 3.49—Unverified
#ModelMetricClaimedVerifiedStatus
1D-ViTNME (inter-pupil)4.13—Unverified
2FiFANME (inter-ocular)2.96—Unverified
#ModelMetricClaimedVerifiedStatus
1JVCRGTE7.28—Unverified