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A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld
  Images

A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images

18 October 2021
Moyun Liu
Jingming Xie
Jing Hao
Yang Zhang
Xuzhan Chen
Youping Chen
ArXiv (abs)PDFHTML

Papers citing "A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images"

3 / 3 papers shown
Automotive Parts Assessment: Applying Real-time Instance-Segmentation
  Models to Identify Vehicle Parts
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts
S. Yusuf
Abdulmalik Aldawsari
R. Souissi
216
4
0
02 Feb 2022
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray
  Image
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray ImageIEEE Sensors Journal (IEEE Sens. J.), 2021
Moyun Liu
Youping Chen
Lei He
Yang Zhang
Jingming Xie
191
120
0
28 Oct 2021
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, StrongerComputer Vision and Pattern Recognition (CVPR), 2016
Joseph Redmon
Ali Farhadi
VLMObjD
623
17,129
0
25 Dec 2016
1
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