Multichannel attention mechanisms fusion based on gate recurrent unit memory network for fine-grained image classification

Multichannel attention mechanisms fusion based on gate recurrent unit memory network for fine-grained image classification

This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173792. Attention mechanism is widely used in fine-grained image classification. Most of the existing methods are to construct an attention weight map for simple weighted processing...

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Bibliographic Details
Main Authors:	Rui Yang, Dahai Li
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2022-01-01
Series:	EAI Endorsed Transactions on Scalable Information Systems
Subjects:	Multichannel attention mechanism result fusion fine-grained image classification gate recurrent unit memory network
Online Access:	https://publications.eai.eu/index.php/sis/article/view/338

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