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 151–200 of 248 papers

TitleStatusHype
Vulnerability of Appearance-based Gaze Estimation—0
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets—0
Goal-Oriented Gaze Estimation for Zero-Shot LearningCode1
Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks—0
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types—0
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask—0
Cross-Encoder for Unsupervised Gaze Representation LearningCode1
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency—0
Self-Learning Transformations for Improving Gaze and Head RedirectionCode1
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze—0
Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving VehicleCode0
360-Degree Gaze Estimation in the Wild Using Multiple Zoom ScalesCode0
Non-contact Real time Eye Gaze Mapping System Based on Deep Convolutional Neural Network—0
A High-Level Description and Performance Evaluation of Pupil Invisible—0
On estimating gaze by self-attention augmented convolutions—0
Unsupervised Video Object Segmentation with Joint Hotspot Tracking—0
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze VariationCode1
Gaze estimation problem tackled through synthetic images—0
In the Eye of the Beholder: Gaze and Actions in First Person Video—0
Benefits of temporal information for appearance-based gaze estimation—0
OpenEDS2020: Open Eyes Dataset—0
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control—0
Gaze-Net: Appearance-Based Gaze Estimation using Capsule Networks—0
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation—0
Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild—0
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Gaze Preserving CycleGANs for Eyeglass Removal & Persistent Gaze EstimationCode1
Towards High Performance Low Complexity Calibration in Appearance Based Gaze EstimationCode1
A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation—0
Unsupervised Representation Learning for Gaze Estimation—0
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework—0
RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in Natural EnvironmentsCode1
SalGaze: Personalizing Gaze Estimation Using Visual Saliency—0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone—0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
Gaze Estimation for Assisted Living Environments—0
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding—0
How far are we from quantifying visual attention in mobile HCI?—0
Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation—0
Image based Eye Gaze Tracking and its Applications—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
Neuro-Inspired Eye Tracking With Eye Movement Dynamics—0
Mixed Effects Neural Networks (MeNets) With Applications to Gaze EstimationCode0
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition—0
Few-Shot Adaptive Gaze EstimationCode0
Facial Pose Estimation by Deep Learning from Label Distributions—0
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis—0
A Differential Approach for 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