Semantic embeddings of generic objects for zero-shot learning

Semantic embeddings of generic objects for zero-shot learning

Abstract Zero-shot learning (ZSL) models use semantic representations of visual classes to transfer the knowledge learned from a set of training classes to a set of unknown test classes. In the context of generic object recognition, previous research has mainly focused on developing custom architect...

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Bibliographic Details
Main Authors: Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi
Format: Article
Language:English
Published: SpringerOpen 2019-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
ZSL
Semantic embedding
Online Access:http://link.springer.com/article/10.1186/s13640-018-0371-x

Internet

http://link.springer.com/article/10.1186/s13640-018-0371-x

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