Detection of the Floating Objects on the Water Surface Based on Improved YOLOv5

Author:

He Xiaoqian1,Wang Jingcheng1,Chen Chaobo1,Yang Xueqin2

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

Reference18 articles.

1. Rich feature hierarchies for accurate object detection and semantic segmentation[C];donahue;Proc of IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2014

2. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

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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