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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 176–200 of 248 papers

TitleStatusHype
Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms—0
Towards Self-Supervised Gaze Estimation—0
Toward Super-Resolution for Appearance-Based Gaze Estimation—0
UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training—0
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach—0
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition—0
Unsupervised Gaze Representation Learning from Multi-view Face Images—0
Unsupervised Representation Learning for Gaze Estimation—0
Unsupervised Video Object Segmentation with Joint Hotspot Tracking—0
Vulnerability of Appearance-based Gaze Estimation—0
What Can Be Predicted from Six Seconds of Driver Glances?—0
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation—0
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images—0
Jitter Does Matter: Adapting Gaze Estimation to New Domains—0
Learning-by-Synthesis for Appearance-based 3D Gaze Estimation—0
Learning Reconstruction-Based Remote Gaze Estimation—0
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild—0
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck—0
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation—0
Lightweight Gaze Estimation Model Via Fusion Global Information—0
Light-weight Head Pose Invariant Gaze Tracking—0
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask—0
Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks Generated through Deep Learning—0
LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation—0
MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking—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