Study of Improved Yolov5 Algorithms for Gesture Recognition
Author:
Affiliation:
1. School of Computer and Information Engineering, Fuyang Normal University,Fuyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929672.pdf?arnumber=9929672
Reference21 articles.
1. Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
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5. Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++
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