Do We Need More Training Data?

Abstract

Datasets for training object recognition systems are steadily increasing in size. This paper investigates the question of whether existing detectors will continue to improve as data grows, or saturate in performance due to limited model complexity and the Bayes risk associated with the feature spaces in which they operate. We focus on the popular paradigm… (More)
DOI: 10.1007/s11263-015-0812-2

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Citation Velocity: 24

Averaging 24 citations per year over the last 2 years.

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