Complex environment image recognition algorithm based on GANs and transfer learning-Reference-Cited by-同舟云学术

Complex environment image recognition algorithm based on GANs and transfer learning

Published:2019-02-18 Issue:21 Volume:32 Page:16401-16412
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Du Xin

Funder

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-019-04018-x/fulltext.html

Reference24 articles.

1. Maoqing J (2012) Current status and prospects of intelligent transportation system technology development in China. Traffic Inf Secur 30(5):1–5

2. Na Z, Jiabin Y et al (2014) Overview of intelligent transportation systems. Comput Sci 41(11):7–11

3. Haiyan Y (2005) Research and implementation of license plate recognition system based on texture features. University of Electronic Science and Technology, Chengdu

4. Kaijun Z (2006) Research on license plate recognition in complex environment. Wuhan University of Technology, Wuhan

5. Ahmed MJ, Sarfraz M, Zidouri A et al (2003) License plate recognition system. In: IEEE international conference on electronics, circuits and systems, Sharjah, United Arab Emirates, pp 898–901

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation;Mathematics;2022-05-04

2. Recognition of material status in workshop and logistics automatic scheduling technology based on RestNet;4th International Conference on Informatics Engineering & Information Science (ICIEIS2021);2022-02-15

3. TLSCA-SVM Fault Diagnosis Optimization Method Based on Transfer Learning;Processes;2022-02-14

4. Research on Transfer Learning of Multi-layer Neural Network against Network Data;The 2nd International Conference on Computing and Data Science;2021-01-28

5. Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles;Neural Computing and Applications;2020-07-08