LAUSR

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.

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1 Published in 2022 at "IEEE transactions on cybernetics"

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