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arXiv · 2106.06694

Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers

Satoshi Tsutsui·David Crandall·Chen Yu
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Abstract

We analyze egocentric views of attended objects from infants. This paper shows 1) empirical evidence that children's egocentric views have more diverse distributions compared to adults' views, 2) we can computationally simulate the infants' distribution, and 3) the distribution is beneficial for training more generalized image classifiers not only for infant egocentric vision but for third-person computer vision.

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Satoshi Tsutsui, David Crandall, Chen Yu. 2021-06-12. Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers. https://arxiv.org/abs/2106.06694

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