Deep Learning Empowered Hand Gesture Recognition: using YOLO Techniques
Author:
Affiliation:
1. Hassan II University of Casablanca Mohammedia,Laboratory of Electronics, Energy, Automation & Information Processing(LEEA&TI) Faculty of Sciences and Techniques,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10373588/10373590/10373734.pdf?arnumber=10373734
Reference15 articles.
1. You Only Look Once: Unified, Real-Time Object Detection
2. YOLOv4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy,2020
3. Real-time Object Detection with YOLO, YOLOv2 and now YOLOv3;Wong,2020
4. A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit
5. Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs
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. Applying YOLO Model in iCAR for Multi-Detection: Object Detection and Hand Gesture Recognition;2024 5th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON);2024-06-19
2. Designing a Student Administration System Utilizing the YOLO-Based Model;Lecture Notes in Networks and Systems;2024
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