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 226–248 of 248 papers

TitleStatusHype
Appearance-Based Gaze Estimation in the WildCode0
Unsupervised Learning of Eye Gaze Representation from the WebCode0
Faster gaze prediction with dense networks and Fisher pruningCode0
Merging Multiple Datasets for Improved Appearance-Based Gaze EstimationCode0
Mixed Effects Neural Networks (MeNets) With Applications to Gaze EstimationCode0
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze EstimationCode0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest RadiographCode0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze EstimationCode0
Eye Tracking for EveryoneCode0
EllSeg-Gen, towards Domain Generalization for head-mounted eyetrackingCode0
Appearance-based gaze estimation enhanced with synthetic images using deep neural networksCode0
SecureGaze: Defending Gaze Estimation Against Backdoor AttacksCode0
Ecological Sampling of Gaze ShiftsCode0
Fine-Grained Head Pose Estimation Without KeypointsCode0
Self-Paced Deep Regression Forests with Consideration of Ranking FairnessCode0
Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot CollaborationCode0
360-Degree Gaze Estimation in the Wild Using Multiple Zoom ScalesCode0
Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking StudyCode0
Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry ExplorationCode0
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial NetworksCode0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
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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