Sample Balancing for Deep Learning-Based Visual Recognition
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DOI: 10.1109/tnnls.2019.2947789
Abstract: Sample balancing includes sample selection and sample reweighting. Sample selection aims to remove some bad samples that may lead to bad local optima. Sample reweighting aims to assign optimal weights to samples to improve performance.… read more here.
Keywords: sample balancing; visual recognition; sample selection; deep learning ... See more keywords