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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 211–220 of 248 papers

Title	Date	Tasks	Status
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression	Sep 1, 2018	Gaze Estimationregression	—Unverified
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video	Sep 1, 2018	Action RecognitionGaze Estimation	—Unverified
Deep Pictorial Gaze Estimation	Jul 26, 2018	Gaze Estimation	CodeCode Available
Learning to Personalize in Appearance-Based Gaze Tracking	Jul 2, 2018	Gaze Estimation	—Unverified
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems	Jun 28, 2018	Gaze Estimation	—Unverified
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation	Jun 1, 2018	Gaze EstimationGenerative Adversarial Network	—Unverified
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings	May 12, 2018	Gaze Estimation	CodeCode Available
Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues	May 8, 2018	Gaze Estimation	CodeCode Available
Light-weight Head Pose Invariant Gaze Tracking	Apr 23, 2018	Gaze EstimationTransfer Learning	—Unverified
Faster gaze prediction with dense networks and Fisher pruning	Jan 17, 2018	Gaze EstimationGaze Prediction	CodeCode Available

Show:10 25 50

← PrevPage 22 of 25Next →

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