Leveraging ImageNet’s Hierarchical Structure for Enhanced Image Classification and Retrieval

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Authors

Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.4.304-314
Citations
2
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
2.55
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article

Leveraging ImageNet’s Hierarchical Structure for Enhanced Image Classification and Retrieval

Luís Guerrero
2 citations
Journal of Image and Graphics
Image Retrieval and Classification Techniques
2.55
article

Leveraging ImageNet’s Hierarchical Structure for Enhanced Image Classification and Retrieval

Luís Guerrero
article en
2 citations

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and GraphicsVol. 13(4)
Openalex Percentile: Top 10%
Image Retrieval and Classification Techniques
2.55
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Leveraging ImageNet’s Hierarchical Structure for Enhanced Image Classification and Retrieval — Luís Guerrero · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS