The Effects of Augmented Training Dataset on Performance of Convolutional Neural Networks in Face Recognition System-Reference-Cited by-同舟云学术

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The Effects of Augmented Training Dataset on Performance of Convolutional Neural Networks in Face Recognition System

Published:2019-09-26 Issue: Volume: Page:
ISSN:2300-5963
Container-title:Proceedings of the 2019 Federated Conference on Computer Science and Information Systems
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Author:

Kutlugün Mehmet Ali,Şirin Yahya,Karakaya Mehmet Ali

Publisher

IEEE

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. Emotion and Advertising Effectiveness: A Novel Facial Expression Analysis Approach Using Federated Learning;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems;Multimedia Tools and Applications;2023-05-13

3. Augmenting the training database with the method of gradual similarity ratios in the face recognition systems;Digital Signal Processing;2023-04

4. Training Siamese Neural Network Using Triplet Loss with Augmented Facial Alignment Dataset;2022 9th NAFOSTED Conference on Information and Computer Science (NICS);2022-10-31

5. Analysis of RGB Plant Images to Identify Root Rot Disease in Korean Ginseng Plants Using Deep Learning;Applied Sciences;2022-02-27

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