Nonlinear multi-head cross-attention network and programmable gradient information for gaze estimation

Nonlinear multi-head cross-attention network and programmable gradient information for gaze estimation

Abstract Gaze estimation is an important indicator of human behavior that can be used for human assistance. Recent gaze estimation methods are primarily based on convolutional neural networks (CNNs) or attention Transformers. However, CNNs extract a limited local context while losing important globa...

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Bibliographic Details
Main Authors: Yujie Li, Yuhang Hong, Ziwen Wang, Jiahui Chen, Rongjie Liu, Shuxue Ding, Benying Tan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Gaze estimation
Convolutional neural network
Transformer
Programmable gradient information
Online Access:https://doi.org/10.1038/s41598-025-12466-w
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