On estimating gaze by self-attention augmented convolutions

25 Aug 2020 Gabriel Lefundes Luciano Oliveira

Estimation of 3D gaze is highly relevant to multiple fields, including but not limited to interactive systems, specialized human-computer interfaces, and behavioral research. Although recently deep learning methods have boosted the accuracy of appearance-based gaze estimation, there is still room for improvement in the network architectures for this particular task... (read more)

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