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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 248 papers

TitleStatusHype
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers—0
MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking—0
Ocular Authentication: Fusion of Gaze and Periocular Modalities—0
MAGE: A Multi-task Architecture for Gaze Estimation with an Efficient Calibration Module—0
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation—0
GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding—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
Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking StudyCode0
Show:102550
← PrevPage 1 of 25Next →
All datasetsMPII GazeGaze360EYEDIAP (floating target)EYEDIAP (screen target)GazeCaptureETH-XGazeEYEDIAPMPIIGazeMPSGazeRT-GENEUT Multi-view

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AGE-NetMean Angle Error4.78—Unverified