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 126139 of 139 papers

TitleStatusHype
Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal0
Fiducial Focus Augmentation for Facial Landmark Detection0
Gaussian Vector: An Efficient Solution for Facial Landmark Detection0
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild0
Hallucinating very low-resolution and obscured face images0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector0
Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation0
Infinite 3D Landmarks: Improving Continuous 2D Facial Landmark Detection0
Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization0
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition0
Laplace Landmark Localization0
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos0
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network0
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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