A Resource Efficient Integer-Arithmetic-Only FPGA-Based CNN Accelerator for Real-Time Facial Emotion Recognition-Reference-Cited by-同舟云学术

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A Resource Efficient Integer-Arithmetic-Only FPGA-Based CNN Accelerator for Real-Time Facial Emotion Recognition

Published:2021 Issue: Volume:9 Page:104367-104381
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Jaemyung^ORCID,Kang Jin-Ku^ORCID,Kim Yongwoo^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09493194.pdf?arnumber=9493194

Cited by 32 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. LiteFer: An Approach Based on MobileViT Expression Recognition;Sensors;2024-09-10

2. Systematic Review of Emotion Detection with Computer Vision and Deep Learning;Sensors;2024-05-28

3. ConvMap: Boosting Convolution Throughput on FPGAs with Efficient Resource Mapping;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

4. Instructor emotion recognition system using manta ray foraging algorithm for improving the content delivery in video lecture;The Visual Computer;2024-04-16

5. An integrated attention-guided deep convolutional neural network for facial expression recognition in the wild;Multimedia Tools and Applications;2024-04-02

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