Home ยป “Deep Learning Method Trained on Synthetic Data Accurately Localizes Corneal Reflections in Eye Images, Outperforming State-of-the-Art Algorithms on Real Eye Images and Offering a Solution to Data Availability Challenges in Developing Deep Learning Models for Gaze Estimation” (one title, all lowercase)

“Deep Learning Method Trained on Synthetic Data Accurately Localizes Corneal Reflections in Eye Images, Outperforming State-of-the-Art Algorithms on Real Eye Images and Offering a Solution to Data Availability Challenges in Developing Deep Learning Models for Gaze Estimation” (one title, all lowercase)

by satcit

https://pubmed.ncbi.nlm.nih.gov/38114880

A deep learning method trained on synthetic data accurately localizes corneal reflections in eye images, outperforming state-of-the-art algorithms on real eye images and offering a solution to data availability challenges in developing deep learning models for gaze estimation.

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