Variance-preserving deep metric learning for content-based image retrieval-Reference-Cited by-同舟云学术

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Variance-preserving deep metric learning for content-based image retrieval

Published:2020-03 Issue: Volume:131 Page:8-14
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Passalis Nikolaos^ORCID,Iosifidis Alexandros,Gabbouj Moncef,Tefas Anastasios

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference53 articles.

1. Generalized multi-view embedding for visual recognition and cross-modal retrieval;Cao;IEEE Trans. Cybern.,2018

2. Imagenet: A large-scale hierarchical image database;Deng,2009

3. Long-term recurrent convolutional networks for visual recognition and description;Donahue,2015

4. Learning deep binary descriptor with multi-quantization;Duan,2017

5. Person re-identification by symmetry-driven accumulation of local features;Farenzena,2010

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2. Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Deep Semi-Supervised Metric Learning with Mixed Label Propagation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Fast retrieval and efficient identification of monument images using features based adaptive clustering and optimized deep belief network;The Imaging Science Journal;2023-03-21

5. A dynamic programming approach for accurate content-based retrieval of ordinary and nano-scale medical images;International Journal of Nanotechnology;2023

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