Curated MAE pre-training on normalized, pose-balanced face images improves gaze estimation generalization across datasets, outperforming semantic pre-training and prior domain-generalization methods.
3dgazenet: Generalizing 3d gaze estimation with weak- supervision from synthetic views
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UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training
Curated MAE pre-training on normalized, pose-balanced face images improves gaze estimation generalization across datasets, outperforming semantic pre-training and prior domain-generalization methods.