LAUSR

Extracting Semantic Knowledge from GANs with Unsupervised Learning

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2 Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.48550/arxiv.2211.16710

Abstract: Recently, unsupervised learning has made impressive progress on various tasks. Despite the dominance of discriminative models, increasing attention is drawn to representations learned by generative models and in particular, Generative Adversarial Networks (GANs). Previous works… read more here.

Keywords: semantic knowledge; semantics; extracting semantic; segmentation ... See more keywords