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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
A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding—0
A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications—0
Bayesian Eye Tracking—0
Benefits of temporal information for appearance-based gaze estimation—0
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze—0
Causal Representation-Based Domain Generalization on Gaze Estimation—0
Differential Contrastive Training for Gaze Estimation—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator—0
Computer Vision System for Eye Gaze Tracking—0
CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation—0
Confidence-aware 3D Gaze Estimation and Evaluation Metric—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—0
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion—0
CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild—0
De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation—0
Facial Pose Estimation by Deep Learning from Label Distributions—0
MTGLS: Multi-Task Gaze Estimation with Limited Supervision—0
Multi-task Gaze Estimation Via Unidirectional Convolution—0
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation—0
Neuro-Inspired Eye Tracking With Eye Movement Dynamics—0
Non-contact Real time Eye Gaze Mapping System Based on Deep Convolutional Neural Network—0
Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild—0
Ocular Authentication: Fusion of Gaze and Periocular Modalities—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