Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.
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DOI: 10.1109/tcyb.2022.3173356
Abstract: Person attribute recognition (PAR) aims to simultaneously predict multiple attributes of a person. Existing deep learning-based PAR methods have achieved impressive performance. Unfortunately, these methods usually ignore the fact that different attributes have an imbalance… read more here.
Keywords: loss; attribute recognition; drop loss; noisy labeled ... See more keywords