Research on adaptive local feature enhancement in convolutional neural networks-Reference-Cited by-同舟云学术

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Research on adaptive local feature enhancement in convolutional neural networks

Published:2020-12 Issue:16 Volume:14 Page:4306-4315
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Sun Tongfeng¹²,Shao Changlong¹²,Liao Hongmei¹²,Ding Shifei¹²,Xu Xinzheng¹²

Affiliation:

1. School of Computer Science and TechnologyChina University of Mining and TechnologyXuzhouJiangsuPeople's Republic of China

2. Mine Digitization Engineering Research Center of Ministry of Education of the People's Republic of ChinaXuzhouJiangsuPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2020.0591

Reference39 articles.

1. Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

2. Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order

3. Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view

4. Detection based visual tracking with convolutional neural network;Wang Y.;Knowl.‐Based Syst.,2019

5. Backpropagation Applied to Handwritten Zip Code Recognition

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3. An end‐to‐end perceptual enhancement method for UHD portrait images;IET Image Processing;2022-03-27

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