Image retrieval using contrastive weight aggregation histograms-Reference-Cited by-同舟云学术

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Image retrieval using contrastive weight aggregation histograms

Published:2022-04 Issue: Volume:123 Page:103457
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Lu Fen,Liu Guang-Hai

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference49 articles.

1. ImageNet classification with deep convolutional neural networks;Alex,2012

2. Very deep convolutional networks for large-scale image recognition;Simonyan,2015

3. Going deeper with convolutions;Szegedy,2015

4. Deep residual learning for image recognition;He,2016

5. Cross-dimensional weighting for aggregated deep convolutional features;Kalantidis,2016

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1. Image Retrieval Using Multilayer Feature Aggregation Histogram;Cognitive Computation;2024-08-27

2. Image retrieval using unsupervised prompt learning and regional attention;Expert Systems with Applications;2024-08

3. Adaptive Weighting Feature Aggregation using Particle Swarm Optimization for Image Retrieval;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

4. Image retrieval based on deep Tamura feature descriptor;Multimedia Systems;2024-05-17

5. Image retrieval using underlying importance feature histogram;Neural Computing and Applications;2024-05-15

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