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 211–220 of 248 papers

Title	Date	Tasks	Status
Hybrid coarse-fine classification for head pose estimation	Jan 21, 2019	3D ReconstructionClassification	CodeCode Available
Learning Gaze-aware Compositional GAN	May 31, 2024	DiversityGaze Estimation	CodeCode Available
Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle	Sep 23, 2020	Gaze EstimationHand Gesture Recognition	CodeCode Available
Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction	Apr 30, 2014	Gaze EstimationPupil Detection	CodeCode Available
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings	May 12, 2018	Gaze Estimation	CodeCode Available
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks	Sep 10, 2018	CaricatureGaze Estimation	CodeCode Available
Few-Shot Adaptive Gaze Estimation	May 6, 2019	DecoderGaze Estimation	CodeCode Available
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods	Sep 15, 2021	Gaze Estimation	CodeCode Available
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection	Sep 26, 2024	Gaze EstimationPrivacy Preserving	CodeCode Available
Using Gaze for Behavioural Biometrics	Jan 22, 2023	Gaze Estimation	CodeCode Available

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All datasets MPII Gaze Gaze360 EYEDIAP (floating target)EYEDIAP (screen target)GazeCapture ETH-XGaze EYEDIAP MPIIGaze MPSGaze RT-GENE UT Multi-view

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RT-GENE single model	Angular Error	4.8	—	Unverified
2	RT-GENE 2 model ensemble	Angular Error	4.6	—	Unverified
3	RT-GENE 4 model ensemble	Angular Error	4.3	—	Unverified
4	L2CS	Angular Error	3.92	—	Unverified
5	AGE-Net	Angular Error	3.64	—	Unverified
6	FAZE	Angular Error	3.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-18	Angular Error	13.5	—	Unverified
2	ResNet-18	Angular Error	12.94	—	Unverified
3	L2CS	Angular Error	10.41	—	Unverified
4	MCGaze	Angular Error	10.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RecurrentGaze (Static)	Angular Error	5.43	—	Unverified
2	RecurrentGaze (Temporal)	Angular Error	5.19	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RecurrentGaze (Temporal)	Angular Error	3.4	—	Unverified
2	RecurrentGaze (Static)	Angular Error	3.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TinyTracker	Euclidean Mean Error (EME)	2.34	—	Unverified
2	Ensemble Calibration	Euclidean Mean Error (EME)	1.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ETHXGaze	Angular Error	4.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AGE-Net	Mean Angle Error	4.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AGE-Net	Mean Angle Error	3.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet18	Angular Error	8.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RT-GENE 4 model ensemble	Angular Error	7.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RT-GENE 4 model ensemble	Angular Error	5.1	—	Unverified