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 6170 of 139 papers

TitleStatusHype
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders0
ORFormer: Occlusion-Robust Transformer for Accurate Facial Landmark Detection0
Pose-Invariant Face Alignment with a Single CNN0
Precise Facial Landmark Detection by Reference Heatmap Transformer0
Quantum-Assisted Support Vector Regression0
Real-Time Drowsiness Detection Using Eye Aspect Ratio and Facial Landmark Detection0
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks0
Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection0
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection0
Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks0
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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