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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 139 papers

TitleStatusHype
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network—0
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection—0
Semantic Style Transfer for Enhancing Animal Facial Landmark Detection—0
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion—0
The Blessing and the Curse of the Noise behind Facial Landmark Annotations—0
Thermal to Visible Synthesis of Face Images using Multiple Regions—0
Towards Accurate Facial Landmark Detection via Cascaded Transformers—0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach—0
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models—0
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model—0
2D Wasserstein Loss for Robust Facial Landmark Detection—0
Zoo-Tuning: Adaptive Transfer from a Zoo of Models—0
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data—0
3FabRec: Fast Few-Shot Face Alignment by Reconstruction—0
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence—0
A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs—0
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose—0
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection—0
Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking—0
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis—0
Automated Detection of Cat Facial Landmarks—0
Automatic 3D Registration of Dental CBCT and Face Scan Data using 2D Projection Images—0
Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques—0
Automatic Facial Expression Recognition Using Features of Salient Facial Patches—0
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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