PERFORMING ATTRIBUTE-AWARE BASED TASKS VIA AN ATTENTION-CONTROLLED NEURAL NETWORK

摘要

This disclosure covers methods, non-transitory computer readable media, and systems that learn attribute attention projections for attributes of digital images and parameters for an attention controlled neural network. By iteratively generating and comparing attribute-modulated-feature vectors from digital images, the methods, non-transitory computer readable media, and systems update attribute attention projections and parameters indicating either one (or both) of a correlation between some attributes of digital images and a discorrelation between other attributes of digital images. In certain embodiments, the methods, non-transitory computer readable media, and systems use the attribute attention projections in an attention controlled neural network as part of performing one or more tasks.