Convolutional Neural Network Training System For Eye Location On Infrared Driver Recordings Using Automatically Generated Ground Truth Data-Reference-Cited by-同舟云学术

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Convolutional Neural Network Training System For Eye Location On Infrared Driver Recordings Using Automatically Generated Ground Truth Data

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
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Author:

Valcan Sorin¹

Affiliation:

1. West University of Timişoara and Continental Automotive Romania VNI HMI,Department of Computer Science,Timişoara,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9700161/9700170/09700345.pdf?arnumber=9700345

Reference13 articles.

1. ImageNet: a large-scale hierarchical image database;jia;CVPR09,0

2. Taskonomy: disentangling task transfer learning;amir;CVPR'18,0

3. How transferable are features in deep neural networks?;yosinski;Adv Neural Inf Process Syst,2014

4. Why does unsupervised pre-training help deep learning?;erhan;J Mach Learn Res,2010

5. Deep residual learning for image recognition;kaiming;CVPR,0

Cited by 2 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. Nostrils and Mouth Detection for Drivers Using Convolutional Neural Networks with Automatically Generated Ground Truth Data;2022 International Conference on Computational Science and Computational Intelligence (CSCI);2022-12

2. Eye Detection For Drivers Using Convolutional Neural Networks With Automatically Generated Ground Truth Data;2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2022-09

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