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 26–50 of 248 papers

TitleStatusHype
TransGOP: Transformer-Based Gaze Object PredictionCode1
Cross-Encoder for Unsupervised Gaze Representation LearningCode1
Source-Free Adaptive Gaze Estimation by Uncertainty ReductionCode1
Contrastive Representation Learning for Gaze EstimationCode1
Appearance-based Gaze Estimation With Deep Learning: A Review and BenchmarkCode1
Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body CoordinationCode1
FLAME: Facial Landmark Heatmap Activated Multimodal Gaze EstimationCode1
Automatic Gaze Analysis: A Survey of Deep Learning based ApproachesCode1
End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction ContextCode1
GaTector: A Unified Framework for Gaze Object PredictionCode1
Gaze Estimation on SpresenseCode1
Gaze Estimation with an Ensemble of Four ArchitecturesCode1
Towards High Performance Low Complexity Calibration in Appearance Based Gaze EstimationCode1
GOO: A Dataset for Gaze Object Prediction in Retail EnvironmentsCode1
HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face ImagesCode1
Self-Learning Transformations for Improving Gaze and Head RedirectionCode1
LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code ManipulationCode1
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition—0
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation—0
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression—0
Appearance-based Gaze Estimation using Attention and Difference Mechanism—0
Accurate Gaze Estimation using an Active-gaze Morphable Model—0
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation—0
Appearance-Based Gaze Estimation Using Dilated-Convolutions—0
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation—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