Aggregating Deep Features of Multi-CNN Models for Image Retrieval-Reference-Cited by-同舟云学术

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Aggregating Deep Features of Multi-CNN Models for Image Retrieval

Published:2023-06-12 Issue:6 Volume:55 Page:8059-8079
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Wang Yu-Wei,Liu Guang-Hai,Deng Qi-Lie

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-023-11297-y.pdf

Reference59 articles.

1. Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. CoRR. arXiv preprint arXiv:1409.1556

2. Jain AK, Ailaya AV (1996) Image retrieval using color and shape. Pattern Recognit 29(8):1233–1244

3. Liu G-H, Yang J-Y, Li Z-Y (2015) Content-based image retrieval using computational visual attention model. Pattern Recognit 48:2554–2566

4. Wei Z, Liu G-H (2020) Image retrieval using the intensity variation descriptor. Math Probl Eng 2020:1–12

5. Manjunath BS, Ma WY (1996) Texture features for browsing and retrieval of image data. IEEE Trans Pattern Anal Mach Intell 18:837–842

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