Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing
In the textile and apparel industry, it remains a challenging task to evaluate the fabric smoothness objectively. In existing studies, the objective fabric smoothness assessment is defined as a typical image classification problem. However, the fabric smoothness labels contain sequence information,...
Main Authors: | Jingan Wang, Kangjun Shi, Lei Wang, Zhengxin Li, Fengxin Sun, Ruru Pan, Weidong Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8981949/ |
Similar Items
-
Fusing Convolutional Neural Network Features With Hand-Crafted Features for Objective Fabric Smoothness Appearance Assessment
by: Jingan Wang, et al.
Published: (2020-01-01) -
Decoloration of Multi-Color Fabric Images for Fabric Appearance Smoothness Evaluation by Supervised Image-to-Image Translation
by: Jingan Wang, et al.
Published: (2019-01-01) -
An Objective Fabric Smoothness Assessment Method Based on a Multi-Scale Spatial Masking Model
by: Jingan Wang, et al.
Published: (2019-01-01) -
Smoothing Approximations to Non-smooth Functions
by: Ahmet SAHİNER, et al.
Published: (2019-01-01) -
Smoothing Approximations to Non-smooth Functions
by: Ahmet Sahiner, et al.
Published: (2019-01-01)