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 126–139 of 139 papers

TitleStatusHype
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild—0
Combining Data-driven and Model-driven Methods for Robust Facial Landmark DetectionCode0
Convolutional Experts Constrained Local Model for Facial Landmark DetectionCode0
Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting—0
Failure Detection for Facial Landmark Detectors—0
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
A Multiresolution 3D Morphable Face Model and Fitting FrameworkCode0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network—0
Facial Landmark Detection with Tweaked Convolutional Neural Networks—0
Deep Recurrent Regression for Facial Landmark Detection—0
Automatic Facial Expression Recognition Using Features of Salient Facial Patches—0
Deep Neural Networks Regularization for Structured Output PredictionCode0
Fast Localization of Facial Landmark PointsCode0
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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