Quantitative results. Our different models and ablations are compared under “Online Detection” using the nomenclature “mean (std)”, and superscripts for referencing rows in the text.

In rows (4) and (5) we replace an input of our 2-input model by a copy of the other, in row (7) we remove time-dilation, in rows (8) and (9) we train our model only on phase 1 or phase 2 (i.e., young subjects or old subjects), and in row (10) we train a regressor to evaluate it as a classifier.