Recognition of Facial Expressions and Emotions on the Face using the YOLOv5 Algorithm
Author:
Affiliation:
1. Bina Nusantara University,School of Computer Science,Computer Science Department,Jakarta,Indonesia,11480
2. School of Computer Science Bina Nusantara University,Cyber Security Program,Computer Science Department,Jakarta,Indonesia,11480
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10462645/10462729/10462848.pdf?arnumber=10462848
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1. Finding treatment-resistant depression in real-world data: How a data-driven approach compares with expert-based heuristics
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3. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy;arXiv preprint arXiv:2004.10934,2020
4. YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
5. A Review of Face Recognition Technology
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