An Improved Merge-YOLOv5 Algorithm for Infant Monitoring
Author:
Affiliation:
1. Huizhou University,School of Computer Science and Engineering,Huizhou,China
Funder
Huizhou University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9904023/9904007/09904205.pdf?arnumber=9904205
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2. A review of deep learning object detection methods;zhao;Journal of Image and Graphics,2020
3. Evaluation of Ultrasound-Based Sensor to Monitor Respiratory and Nonrespiratory Movement and Timing in Infants
4. Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning
5. Real-time detection of particleboard surface defects based on improved YOLOV5 target detection
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