Realtime Face-Detection and Emotion Recognition Using MTCNN and miniShuffleNet V2-Reference-Cited by-同舟云学术

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Realtime Face-Detection and Emotion Recognition Using MTCNN and miniShuffleNet V2

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)
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Author:

Ghofrani Ali,Toroghi Rahil Mahdian,Ghanbari Shirin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8732269/8734902/08734924.pdf?arnumber=8734924

Cited by 14 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. Empowering facial emotion recognition in service industry – a two-stage convolutional neural network model;Multimedia Tools and Applications;2023-09-26

2. A Comparative Study on Deep Facial Expression Recognition;2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS);2023-05-17

3. A Review on Various CNN-based Approaches for Facial Expression Recognition;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

4. Real time sentiment analysis of natural language using multimedia input;Multimedia Tools and Applications;2023-04-14

5. MTCNN++: A CNN-based face detection algorithm inspired by MTCNN;The Visual Computer;2023-04-11

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