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L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS

Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality. Recently, convolution neural network (CNN) approaches have made notable progress in predicting gaze direction.

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Cite this as

Ahmed A.Abdelrahman, Thorsten Hempel, Aly Khalifa, Ayoub Al-Hamadi (2024). Dataset: L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS. https://doi.org/10.57702/f6s3fno0

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2203.03339
Author	Ahmed A.Abdelrahman
More Authors	Thorsten Hempel Aly Khalifa Ayoub Al-Hamadi
Homepage	https://github.com/Ahmednull/L2CS-Net