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 201–248 of 248 papers

TitleStatusHype
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation—0
Rendering refraction and reflection of eyeglasses for synthetic eye tracker images—0
A High-Level Description and Performance Evaluation of Pupil Invisible—0
Unsupervised Representation Learning for Gaze Estimation—0
Unsupervised Video Object Segmentation with Joint Hotspot Tracking—0
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation—0
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation—0
SalGaze: Personalizing Gaze Estimation Using Visual Saliency—0
What Can Be Predicted from Six Seconds of Driver Glances?—0
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion—0
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—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
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone—0
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation—0
DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation—0
DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention—0
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency—0
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation—0
Confidence-aware 3D Gaze Estimation and Evaluation Metric—0
CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation—0
Computer Vision System for Eye Gaze Tracking—0
Semi-supervised Contrastive Regression for Estimation of Eye Gaze—0
EFE: End-to-end Frame-to-Gaze Estimation—0
Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning—0
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems—0
Efficient Eye Typing with 9-direction Gaze Estimation—0
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation—0
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation—0
Semi-Synthetic Dataset Augmentation for Application-Specific Gaze Estimation—0
EM-Net: Gaze Estimation with Expectation Maximization Algorithm—0
Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator—0
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors—0
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers—0
Eye Gaze Estimation Model Analysis—0
Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks—0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding—0
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges—0
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings—0
SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning—0
A Differential Approach for Gaze Estimation—0
FIFA: Fine-grained Inter-frame Attention for Driver's Video Gaze Estimation—0
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets—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