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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 126–150 of 248 papers

TitleStatusHype
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body CoordinationCode1
Generalizing Gaze Estimation With Rotation Consistency—0
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning—0
Self-Paced Deep Regression Forests with Consideration of Ranking FairnessCode0
GaTector: A Unified Framework for Gaze Object PredictionCode1
HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation—0
MTGLS: Multi-Task Gaze Estimation with Limited Supervision—0
FLAME: Facial Landmark Heatmap Activated Multimodal Gaze EstimationCode1
Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning—0
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking MethodsCode0
Automatic Gaze Analysis: A Survey of Deep Learning based ApproachesCode1
Generalizing Gaze Estimation with Outlier-guided Collaborative AdaptationCode1
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation—0
Gaze Estimation with an Ensemble of Four ArchitecturesCode1
The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze EstimationCode1
Bayesian Eye Tracking—0
An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture—0
Appearance-based Gaze Estimation using Attention and Difference Mechanism—0
Gaze Estimation using TransformerCode1
GOO: A Dataset for Gaze Object Prediction in Retail EnvironmentsCode1
Weakly-Supervised Physically Unconstrained Gaze EstimationCode1
Appearance-based Gaze Estimation With Deep Learning: A Review and BenchmarkCode1
A Novel Binocular Eye-Tracking SystemWith Stereo Stimuli for 3D Gaze Estimation—0
PureGaze: Purifying Gaze Feature for Generalizable Gaze EstimationCode1
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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