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

Showing 2650 of 139 papers

TitleStatusHype
Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal0
Benchmarking Shadow Removal for Facial Landmark Detection and Beyond0
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA0
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring0
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection0
Facial Landmark Detection with Tweaked Convolutional Neural Networks0
Failure Detection for Facial Landmark Detectors0
Gaussian Vector: An Efficient Solution for Facial Landmark Detection0
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs0
Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques0
Facial Landmark Detection: a Literature Survey0
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data0
Discrete Deep Feature Extraction: A Theory and New Architectures0
Automated Detection of Cat Facial Landmarks0
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence0
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images0
Domain Translation via Latent Space Mapping0
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting0
Efficient Facial Landmark Detection for Embedded Systems0
Automatic Facial Expression Recognition Using Features of Salient Facial Patches0
Facial Landmark Correlation Analysis0
2D Wasserstein Loss for Robust Facial Landmark Detection0
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction0
Facial Landmark Detection Evaluation on MOBIO Database0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13DDFANME7.01Unverified
2Pose-InvariantNME6.3Unverified
3CFSSNME5.76Unverified
4SAN GTNME3.98Unverified
5TS3NME3.49Unverified
6AdalossNME3.31Unverified
7CHR2C (Inter-ocular Norm)NME3.3Unverified
8CNN-CRF (Inter-ocular Norm)NME3.3Unverified
9DCFE (Inter-ocular Norm)NME3.24Unverified
103DDE (Inter-ocular Norm)NME3.13Unverified
#ModelMetricClaimedVerifiedStatus
1HPRNet (Hourglass-104)keypoint AP75.4Unverified
2HPRNet (DLA)keypoint AP74.6Unverified
3HPRNet (Hourglass-104)keypoint AP59.4Unverified
4HPRNet (DLA)keypoint AP55.2Unverified
5HPRNet (Hourglass-104)keypoint AP50.4Unverified
6HPRNet (DLA)keypoint AP47Unverified
#ModelMetricClaimedVerifiedStatus
1DCFE (Box height Norm, 19 landmarks - no earlobs)Mean NME 2.17Unverified
23DDE (Box height Norm, 19 landmarks - no earlobs)Mean NME2.01Unverified
3SANMean NME 1.91Unverified
4AnchorFaceMean NME 1.56Unverified
5FiFAMean NME 0.92Unverified
#ModelMetricClaimedVerifiedStatus
1SANMean NME 1.85Unverified
2AnchorFaceMean NME1.38Unverified
3FiFAMean NME0.8Unverified
#ModelMetricClaimedVerifiedStatus
1ELD (MobileNetV2)NME3.09Unverified
2ELD (EfficientNetV2B0)NME2.98Unverified
3ELD (EfficientNetV2S)NME2.83Unverified
#ModelMetricClaimedVerifiedStatus
1ELD (EfficientNetV2B1)NME4.65Unverified
2FiFANME (inter-ocular)3.89Unverified
3D-ViTNME3.75Unverified
#ModelMetricClaimedVerifiedStatus
1CPM+SBR+PAMAUC0.08 private59.39Unverified
2CPM+SBRAUC0.08 private58.22Unverified
#ModelMetricClaimedVerifiedStatus
1AnchorFaceMean NME 3.72Unverified
2TS3Mean NME 3.49Unverified
#ModelMetricClaimedVerifiedStatus
1D-ViTNME (inter-pupil)4.13Unverified
2FiFANME (inter-ocular)2.96Unverified
#ModelMetricClaimedVerifiedStatus
1JVCRGTE7.28Unverified