SAL-Net: Self-Supervised Attribute Learning for Object Recognition and Segmentation

Existing attribute learning methods rely on predefined attributes, which require manual annotations. Due to the limitation of human experience, the predefined attributes are not capable enough of providing enough description. This paper proposes a self-supervised attribute learning (SAL) method, whi...

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Vydané v:	Wireless communications and mobile computing Ročník 2021; číslo 1
Hlavní autori:	Yang, Shu, JingWang, Arif, Sheeraz, Jia, Minli, Zhong, Shunan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Hindawi 2021 John Wiley & Sons, Inc
Predmet:	Algorithms Annotations Classification Datasets Dictionaries Image annotation Image classification Image segmentation Learning Neural networks Object recognition Semantic segmentation Semantics
ISSN:	1530-8669, 1530-8677
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