E2BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval-Reference-Cited by-同舟云学术

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E2BoWs: An end-to-end Bag-of-Words model via deep convolutional neural network for image retrieval

Published:2020-06 Issue: Volume:395 Page:188-198
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Xiaobin,Zhang Shiliang,Huang Tiejun,Tian Qi

Funder

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference59 articles.

1. Going deeper with convolutions;Szegedy,2015

2. Batch normalization: accelerating deep network training by reducing internal covariate shift;Ioffe,2015

3. Scalable recognition with a vocabulary tree;Nister,2006

4. Semantic-aware co-indexing for image retrieval;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2015

5. Bundling features for large scale partial-duplicate web image search;Wu,2009

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