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

Showing 126150 of 248 papers

TitleStatusHype
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression0
TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets0
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face0
Highly accurate gaze estimation using a consumer RGB-depth sensor0
How far are we from quantifying visual attention in mobile HCI?0
Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach0
Vulnerability of Appearance-based Gaze Estimation0
HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation0
Image based Eye Gaze Tracking and its Applications0
Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization0
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis0
Improving reliability of uncertainty-aware gaze estimation with probability calibration0
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types0
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video0
In the Eye of the Beholder: Gaze and Actions in First Person Video0
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation0
Appearance-based Gaze Estimation using Attention and Difference Mechanism0
The One Where They Reconstructed 3D Humans and Environments in TV Shows0
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation0
Jitter Does Matter: Adapting Gaze Estimation to New Domains0
Appearance-Based Gaze Estimation Using Dilated-Convolutions0
Accurate Gaze Estimation using an Active-gaze Morphable Model0
Learning to Personalize in Appearance-Based Gaze Tracking0
Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms0
Learning-by-Synthesis for Appearance-based 3D Gaze Estimation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RT-GENE single modelAngular Error4.8Unverified
2RT-GENE 2 model ensembleAngular Error4.6Unverified
3RT-GENE 4 model ensembleAngular Error4.3Unverified
4L2CSAngular Error3.92Unverified
5AGE-NetAngular Error3.64Unverified
6FAZEAngular Error3.14Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-18Angular Error13.5Unverified
2ResNet-18Angular Error12.94Unverified
3L2CSAngular Error10.41Unverified
4MCGazeAngular Error10.02Unverified
#ModelMetricClaimedVerifiedStatus
1RecurrentGaze (Static)Angular Error5.43Unverified
2RecurrentGaze (Temporal)Angular Error5.19Unverified
#ModelMetricClaimedVerifiedStatus
1RecurrentGaze (Temporal)Angular Error3.4Unverified
2RecurrentGaze (Static)Angular Error3.38Unverified
#ModelMetricClaimedVerifiedStatus
1TinyTrackerEuclidean Mean Error (EME)2.34Unverified
2Ensemble CalibrationEuclidean Mean Error (EME)1.77Unverified
#ModelMetricClaimedVerifiedStatus
1ETHXGazeAngular Error4.7Unverified
#ModelMetricClaimedVerifiedStatus
1AGE-NetMean Angle Error4.78Unverified
#ModelMetricClaimedVerifiedStatus
1AGE-NetMean Angle Error3.61Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet18Angular Error8.1Unverified
#ModelMetricClaimedVerifiedStatus
1RT-GENE 4 model ensembleAngular Error7.7Unverified
#ModelMetricClaimedVerifiedStatus
1RT-GENE 4 model ensembleAngular Error5.1Unverified