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SeTA: semiautomatic tool for annotation of eye tracking images
(ACM, 2019)
info:eu-repo/semantics/conferenceObject,
Availability of large scale tagged datasets is a must in the field of deep learning applied to the eye tracking challenge. In this paper, the potential of Supervised-Descent-Method (SDM) as a semiautomatic labelling tool ...
U2Eyes: a binocular dataset for eye tracking and gaze estimation
(IEEE, 2019)
info:eu-repo/semantics/conferenceObject,
Theory shows that huge amount of labelled data are needed in order to achieve reliable classification/regression methods when using deep/machine learning techniques. However, in the eye tracking field, manual annotation ...