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
FIFA: Fine-grained Inter-frame Attention for Driver's Video Gaze Estimation—0
3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments—0
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning—0
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model—0
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges—0
Differential Contrastive Training for Gaze Estimation—0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding—0
Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator—0
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control—0
Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks—0
Computer Vision System for Eye Gaze Tracking—0
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets—0
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning—0
Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control—0
FR-Net:A Light-weight FFT Residual Net For Gaze Estimation—0
From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation—0
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning—0
GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting—0
GazeCLIP: Towards Enhancing Gaze Estimation via Text Guidance—0
GazeDirector: Fully Articulated Eye Gaze Redirection in Video—0
GazeDPM: Early Integration of Gaze Information in Deformable Part Models—0
Gaze Estimation Approach Using Deep Differential Residual Network—0
Gaze Estimation for Assisted Living Environments—0
Eye Gaze Estimation Model Analysis—0
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers—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