Description: Abstract—Lack of sufficient and complete training data is
one of the most prominent challenges in the problem of facial
age estimation. Due to appearance similarity of the faces at
close ages, the face images at the neighboring ages may be
utilized while learning a particular age. As a result, the training
images for each age are boosted without actually increase the
total number of training images.
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