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Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex
  Fire Scenarios

Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios

29 August 2022
Hao Xu
Bo-wen Li
Fei Zhong
ArXivPDFHTML

Papers citing "Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios"

4 / 4 papers shown
Title
SIoU Loss: More Powerful Learning for Bounding Box Regression
SIoU Loss: More Powerful Learning for Bounding Box Regression
Zhora Gevorgyan
66
559
0
25 May 2022
PP-LCNet: A Lightweight CPU Convolutional Neural Network
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Cheng Cui
Tingquan Gao
Shengyun Wei
Yuning Du
Ruoyu Guo
...
X. Lv
Qiwen Liu
Xiaoguang Hu
Dianhai Yu
Yanjun Ma
ObjD
39
119
0
17 Sep 2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
Yi-Fan Zhang
Weiqiang Ren
Zhang Zhang
Zhen Jia
Liang Wang
T. Tan
41
1,206
0
20 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
1