Zero-shot learning for action recognition using synthesized features

The major disadvantage of supervised methods for action recognition is the need for a large amount of annotated data, where the data is matched to its label accurately. To address this issue, Zero-Shot Learning (ZSL) is introduced. Zero short learning primarily uses data that is synthesized to compe...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 390; s. 117 - 130
Hlavní autoři:	Mishra, Ashish, Pandey, Anubha, Murthy, Hema A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 21.05.2020
Témata:	Bi-directional generative adversarial network Generalized zero shot learning Inductive ZSL setting Inverse autoregressive flow Transductive ZSL setting Transductive ZSL setting Inverse autoregressive flow Generalized zero shot learning Bi-directional generative adversarial network Inductive ZSL setting
ISSN:	0925-2312, 1872-8286
On-line přístup:	Získat plný text
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