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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
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—0
An Effective Deep Network for Head Pose Estimation without Keypoints—0
Contrastive Representation Learning for Gaze EstimationCode1
Jitter Does Matter: Adapting Gaze Estimation to New Domains—0
HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face ImagesCode1
LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code ManipulationCode1
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning—0
Multimodal Across Domains Gaze Target DetectionCode1
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation—0
Gaze Estimation Approach Using Deep Differential Residual Network—0
RAZE: Region Guided Self-Supervised Gaze Representation Learning—0
Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control—0
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze EstimationCode0
Eye Gaze Estimation Model Analysis—0
The One Where They Reconstructed 3D Humans and Environments in TV Shows—0
Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer LearningCode1
MobileOne: An Improved One millisecond Mobile BackboneCode2
EllSeg-Gen, towards Domain Generalization for head-mounted eyetrackingCode0
GazeOnce: Real-Time Multi-Person Gaze Estimation—0
Towards Self-Supervised Gaze Estimation—0
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained EnvironmentsCode2
Memory-based gaze prediction in deep imitation learning for robot manipulation—0
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze EstimationCode0
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze—0
Resolving Camera Position for a Practical Application of Gaze Estimation on Edge DevicesCode1
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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