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synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?

17 June 2025
Johannes Flotzinger
Fabian Deuser
Achref Jaziri
Heiko Neumann
Norbert Oswald
Visvanathan Ramesh
T. Braml
ArXiv (abs)PDFHTML

Papers citing "synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?"

5 / 5 papers shown
Title
Real-time High-Resolution Neural Network with Semantic Guidance for
  Crack Segmentation
Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation
Yongshang Li
Ronggui Ma
Han Liu
Gaoli Cheng
SSeg
65
32
0
01 Jul 2023
A Procedural World Generation Framework for Systematic Evaluation of
  Continual Learning
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
44
7
0
04 Jun 2021
Contrastive Learning for Unpaired Image-to-Image Translation
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park
Alexei A. Efros
Richard Y. Zhang
Jun-Yan Zhu
SSL
86
1,232
0
30 Jul 2020
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISegSSeg
134
1,291
0
08 Jan 2019
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
259
2,972
0
20 Mar 2017
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