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Semi-supervised Contrastive Regression for Estimation of Eye Gaze
Our contrastive regression framework shows good performance in comparison to several state of the art contrastive learning techniques used for gaze estimation.
LocalEyenet: Deep Attention framework for Localization of Eyes
The model architecture, build on stacked hourglass backbone, learns the self-attention in feature maps which aids in preserving global as well as local spatial dependencies in face image.
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