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Learning to Identify Drilling Defects in Turbine Blades with Single
  Stage Detectors

Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors

8 August 2022
A. Panizza
Szymon Tomasz Stefanek
S. Melacci
Giacomo Veneri
Marco Gori
ArXiv (abs)PDFHTML

Papers citing "Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors"

6 / 6 papers shown
Title
Small-Object Detection in Remote Sensing Images with End-to-End
  Edge-Enhanced GAN and Object Detector Network
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Jakaria Rabbi
Nilanjan Ray
Matthias Schubert
Subir Chowdhury
D. Chao
ObjD
69
237
0
20 Mar 2020
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak
  RECIST Labels
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
Martin Zlocha
Qi Dou
Ben Glocker
MedIm
57
107
0
05 Jun 2019
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
186
2,461
0
06 Sep 2018
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
491
22,158
0
09 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
1