SUGE improves gaze estimation accuracy by estimating image and label quality from consistency among real, predicted, and neighbor-derived labels and using those scores to reweight and correct training samples.
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Suppressing Uncertainty in Gaze Estimation
SUGE improves gaze estimation accuracy by estimating image and label quality from consistency among real, predicted, and neighbor-derived labels and using those scores to reweight and correct training samples.