MFANet: A Collar Classification Network Based on Multi-Scale Features and an Attention Mechanism

MFANet: A Collar Classification Network Based on Multi-Scale Features and an Attention Mechanism

The collar is an important part of a garment that reflects its style. The collar classification task is to recognize the collar type in the apparel image. In this paper, we design a novel convolutional module called MFA (multi-scale features attention) to address the problems of high noise, small re...

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Bibliographic Details
Main Authors: Xiao Qin, Shanshan Ya, Changan Yuan, Dingjia Chen, Long Long, Huixian Liao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
deep learning
image classification
collar classification
attention mechanism
multi-scale
Online Access:https://www.mdpi.com/2227-7390/11/5/1164

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