Detection of the Floating Objects on the Water Surface Based on Improved YOLOv5
Author:
Affiliation:
1. School of Electronic Information Engineering, Xi'an Technological University,Shaanxi,China
2. School of Communications and Information Engineering & School of Artificial Intelligence, Xi'an University of Posts & Telecommunications,Shaanxi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9687823/9687857/09688111.pdf?arnumber=9688111
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3. Faster R-CNN: towards real-time object detection with region proposal networks [C];ren;Proc of the 28th International Conference on Neural Information Processing Systems,2015
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