Deep Feature Retention Module Network for Texture Classification

Deep Feature Retention Module Network for Texture Classification

Texture describes the unique features of an image. Therefore, texture classification is a crucial task in computer vision. Various CNN-based deep learning methods have been developed to classify textures. During training, the deep-learning model undergoes an end-to-end procedure of learning features...

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Bibliographic Details
Main Authors: Sung-Hwan Park, Sung-Yoon Ahn, Sang-Woong Lee
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Applied Sciences
Subjects:
texture classification
feature information
numerous level
FRM
Online Access:https://www.mdpi.com/2076-3417/14/10/4011

Internet

https://www.mdpi.com/2076-3417/14/10/4011

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