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How Old Do You Look? Inferring Your Age From Your Gaze

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Academic year: 2021

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Figure

Fig. 1. Architecture of the proposed 1D CNN
Figure 3 presents the result of the 10-fold cross validation. Our model (pre-trained with fake scanpaths and fine-tuned with actual scanpaths) achieves 98.27% and 0.095 for average accuracy and loss respectively, similar to the accuracy (98.40%) and loss (
Fig. 4. Confusion matrix for the classification. (a) Trained with original data after sampling

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