Discriminative Deep Feature Learning for Semantic-Based Image Retrieval

Discriminative Deep Feature Learning for Semantic-Based Image Retrieval

Semantic-based image retrieval plays an important role in many practical applications, which aims to look for images with similar contents. Extracting discriminative representations of images is the real crux of this task. Directly utilizing the results of fully connected layers of convolutional neu...

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Bibliographic Details
Main Authors: Kaikai Song, Feng Li, Fei Long, Junping Wang, Qiang Ling
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
discriminative deep feature learning
improved center loss
semantic-based image retrieval
Online Access:https://ieeexplore.ieee.org/document/8424337/

Internet

https://ieeexplore.ieee.org/document/8424337/

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