Comparison of Combinations of Data Augmentation Methods and Transfer Learning Strategies in Image Classification Used in Convolution Deep Neural Networks-Reference-Cited by-同舟云学术

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Comparison of Combinations of Data Augmentation Methods and Transfer Learning Strategies in Image Classification Used in Convolution Deep Neural Networks

Published:2021-01-26 Issue: Volume: Page:
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Container-title:2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)
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Author:

Korzhebin Timofey A.,Egorov Alexey D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9396056/9396068/09396724.pdf?arnumber=9396724

Cited by 8 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

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2. A Methodology for Assessing Data Augmentation Effectiveness for Target Classification in SAR Images;2024 IEEE Radar Conference (RadarConf24);2024-05-06

3. Real-Time Object Detection to Identify Adults and Children Using YOLO Algorithms;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

4. Data Augmentation Using Brightness and Darkness to Enhance the Performance of YOLO7 Object Detection Algorithm;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

5. Data Augmentation with Noise and Blur to Enhance the Performance of YOLO7 Object Detection Algorithm;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

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