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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 101–125 of 248 papers

TitleStatusHype
Gaze estimation problem tackled through synthetic images—0
Benefits of temporal information for appearance-based gaze estimation—0
Bayesian Eye Tracking—0
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning—0
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning—0
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation—0
GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting—0
GazeGene: Large-scale Synthetic Gaze Dataset with 3D Eyeball Annotations—0
GazeGen: Gaze-Driven User Interaction for Visual Content Generation—0
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation—0
Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks—0
GazeOnce: Real-Time Multi-Person Gaze Estimation—0
GAZEploit: Remote Keystroke Inference Attack by Gaze Estimation from Avatar Views in VR/MR Devices—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Gazing into the Abyss: Real-time Gaze Estimation—0
A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications—0
Suppressing Uncertainty in Gaze Estimation—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding—0
Generalizing Gaze Estimation With Rotation Consistency—0
Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras—0
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments—0
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning—0
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition—0
Guiding Intelligent Surveillance System by learning-by-synthesis 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