Weidong Gao

Orcid: 0000-0002-6230-9527

Affiliations:
  • Jingnan University, Key Laboratory of Eco-Textiles, Wuxi, China


According to our database1, Weidong Gao authored at least 16 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A semantic segmentation algorithm for fashion images based on modified mask RCNN.
Multim. Tools Appl., July, 2023

2022
Online Detection of Fabric Defects Based on Improved CenterNet with Deformable Convolution.
Sensors, 2022

A novel image retrieval strategy based on transfer learning and hand-crafted features for wool fabric.
Expert Syst. Appl., 2022

An Efficient Retrieval System Framework for Fabrics Based on Fine-Grained Similarity.
Entropy, 2022

Automatic recognition of woven fabric structural parameters: a review.
Artif. Intell. Rev., 2022

2021
Fabric Retrieval Based on Multi-Task Learning.
IEEE Trans. Image Process., 2021

A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern.
J. Intell. Manuf., 2021

Efficient fine-texture image retrieval using deep multi-view hashing.
Comput. Graph., 2021

2020
Clothing Attribute Recognition Based on RCNN Framework Using L-Softmax Loss.
IEEE Access, 2020

Fusing Convolutional Neural Network Features With Hand-Crafted Features for Objective Fabric Smoothness Appearance Assessment.
IEEE Access, 2020

Automatic Assessment of Fabric Smoothness Appearance Based on a Compact Convolutional Neural Network With Label Smoothing.
IEEE Access, 2020

2019
Fabric Image Retrieval System Using Hierarchical Search Based on Deep Convolutional Neural Network.
IEEE Access, 2019

Decoloration of Multi-Color Fabric Images for Fabric Appearance Smoothness Evaluation by Supervised Image-to-Image Translation.
IEEE Access, 2019

An Objective Fabric Smoothness Assessment Method Based on a Multi-Scale Spatial Masking Model.
IEEE Access, 2019

Woven Fabric Density Measurement by Using Multi-Scale Convolutional Neural Networks.
IEEE Access, 2019

2010
Color matching for colored fiber blends based on the fuzzy c-mean cluster in HSV color space.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010


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