M-SAC-VLADNet: A Multi-Path Deep Feature Coding Model for Visual Classification

M-SAC-VLADNet: A Multi-Path Deep Feature Coding Model for Visual Classification

Vector of locally aggregated descriptor (VLAD) coding has become an efficient feature coding model for retrieval and classification. In some recent works, the VLAD coding method is extended to a deep feature coding model which is called NetVLAD. NetVLAD improves significantly over the original VLAD...

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Bibliographic Details
Main Authors: Boheng Chen, Jie Li, Gang Wei, Biyun Ma
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
deep convolutional network
deep feature coding network
multi-path feature coding network
sparsely-adaptive and covariance VLAD coding
visual classification
Online Access:http://www.mdpi.com/1099-4300/20/5/341

Internet

http://www.mdpi.com/1099-4300/20/5/341

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