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

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