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.
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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.
在第(4)行与第(5)行的实验设置中,我们将二输入模型(2-input model)的其中一路输入替换为另一路输入的副本;在第(7)行中,我们移除了时间膨胀(time-dilation);在第(8)行与第(9)行中,我们仅基于第一阶段(phase 1)或第二阶段(phase 2,即青年受试者或老年受试者)的数据对模型进行训练;而在第(10)行中,我们训练了一个回归器(regressor),将其作为分类器(classifier)开展评估。
创建时间:
2022-08-22




