UltraGlobal: An Enhanced Approach to Image Retrieval Using Global Features

Image retrieval is an important task in vision, and for a long time, the research has focused on traditional algorithms or DL methods, but neglected the better measurement of feature extraction brought by the combination of the two, based on this, we propose UltraGlobal, an Image retrieval method th

Authors

Pengfei Huang (ORCID: https://orcid.org/0000-0002-5211-6764)
Mingyang Gao (ORCID: https://orcid.org/0000-0002-8304-7909)
X. C. Dai (ORCID: https://orcid.org/0000-0002-2286-2440)
Shicheng Wang (ORCID: https://orcid.org/0000-0001-8380-9136)
Zhiqi Zhang (ORCID: https://orcid.org/0000-0003-1914-9430)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.4108/eai.21-11-2024.2354612
Primary Topic: Image Retrieval and Classification Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

UltraGlobal: An Enhanced Approach to Image Retrieval Using Global Features

Pengfei Huang, Mingyang Gao, X. C. Dai, Shicheng Wang et al.

Jan 1, 2025

Image Retrieval and Classification Techniques

article

UltraGlobal: An Enhanced Approach to Image Retrieval Using Global Features

Pengfei Huang, Mingyang Gao, X. C. Dai, Shicheng Wang, Zhiqi Zhang

January 1, 2025article en

Abstract

Image retrieval is an important task in vision, and for a long time, the research has focused on traditional algorithms or DL methods, but neglected the better measurement of feature extraction brought by the combination of the two, based on this, we propose UltraGlobal, an Image retrieval method th

Openalex Percentile: Top 96%

Image Retrieval and Classification Techniques

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UltraGlobal: An Enhanced Approach to Image Retrieval Using Global Features — Pengfei Huang, Mingyang Gao, et al. · (2025) | TGRS Research Map | TGRS