2024
DOI: 10.3390/app14125334
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Advancements in Gaze Coordinate Prediction Using Deep Learning: A Novel Ensemble Loss Approach

Seunghyun Kim,
Seungkeon Lee,
Eui Chul Lee

Abstract: Recent advancements in deep learning have enabled gaze estimation from images of the face and eye areas without the need for precise geometric locations of the eyes and face. This approach eliminates the need for complex user-dependent calibration and the issues associated with extracting and tracking geometric positions, making further exploration of gaze position performance enhancements challenging. Motivated by this, our study focuses on an ensemble loss function that can enhance the performance of existin… Show more

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