Learning global image representation with generalized‐mean pooling and smoothed average precision for large‐scale CBIR

Learning global image representation with generalized‐mean pooling and smoothed average precision for large‐scale CBIR

Abstract Content‐based image retrieval (CBIR) is the problem of searching for items in an image database that are similar to the query image. Most of the existing image retrieval methods are trained based on metric learning loss functions (e.g. contrastive loss or triplet loss), however, which requi...

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Bibliographic Details
Main Authors: Jinliang Yao, Yongqing Li, Bing Yang, Chenrui Wang
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Image Processing
Subjects:
computer vision
content‐based retrieval
image retrieval
Online Access:https://doi.org/10.1049/ipr2.12825

Internet

https://doi.org/10.1049/ipr2.12825

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