SOTAVerified

Gaze Estimation

Gaze Estimation is a task to predict where a person is looking at given the person’s full face. The task contains two directions: 3-D gaze vector and 2-D gaze position estimation. 3-D gaze vector estimation is to predict the gaze vector, which is usually used in the automotive safety. 2-D gaze position estimation is to predict the horizontal and vertical coordinates on a 2-D screen, which allows utilizing gaze point to control a cursor for human-machine interaction.

Source: A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone

Papers

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Showing 76–100 of 248 papers

TitleStatusHype
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking MethodsCode0
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze EstimationCode0
Hybrid coarse-fine classification for head pose estimationCode0
Ecological Sampling of Gaze ShiftsCode0
PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking ServicesCode0
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest RadiographCode0
Eye Tracking for EveryoneCode0
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
Few-Shot Adaptive Gaze EstimationCode0
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial NetworksCode0
Fine-Grained Head Pose Estimation Without KeypointsCode0
Test-Time Personalization with Meta Prompt for Gaze EstimationCode0
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency—0
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition—0
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation—0
DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention—0
DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation—0
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression—0
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation—0
Appearance-based Gaze Estimation using Attention and Difference Mechanism—0
Accurate Gaze Estimation using an Active-gaze Morphable Model—0
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation—0
Appearance-Based Gaze Estimation Using Dilated-Convolutions—0
Facial Pose Estimation by Deep Learning from Label Distributions—0
De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation—0
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All datasetsMPII GazeGaze360EYEDIAP (floating target)EYEDIAP (screen target)GazeCaptureETH-XGazeEYEDIAPMPIIGazeMPSGazeRT-GENEUT Multi-view

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RT-GENE single modelAngular Error4.8—Unverified
2RT-GENE 2 model ensembleAngular Error4.6—Unverified
3RT-GENE 4 model ensembleAngular Error4.3—Unverified
4L2CSAngular Error3.92—Unverified
5AGE-NetAngular Error3.64—Unverified
6FAZEAngular Error3.14—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-18Angular Error13.5—Unverified
2ResNet-18Angular Error12.94—Unverified
3L2CSAngular Error10.41—Unverified
4MCGazeAngular Error10.02—Unverified
#ModelMetricClaimedVerifiedStatus
1RecurrentGaze (Static)Angular Error5.43—Unverified
2RecurrentGaze (Temporal)Angular Error5.19—Unverified
#ModelMetricClaimedVerifiedStatus
1RecurrentGaze (Temporal)Angular Error3.4—Unverified
2RecurrentGaze (Static)Angular Error3.38—Unverified
#ModelMetricClaimedVerifiedStatus
1TinyTrackerEuclidean Mean Error (EME)2.34—Unverified
2Ensemble CalibrationEuclidean Mean Error (EME)1.77—Unverified
#ModelMetricClaimedVerifiedStatus
1ETHXGazeAngular Error4.7—Unverified
#ModelMetricClaimedVerifiedStatus
1AGE-NetMean Angle Error4.78—Unverified
#ModelMetricClaimedVerifiedStatus
1AGE-NetMean Angle Error3.61—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet18Angular Error8.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RT-GENE 4 model ensembleAngular Error7.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RT-GENE 4 model ensembleAngular Error5.1—Unverified