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2506.14255
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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
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Papers citing
"synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?"
4 / 4 papers shown
Title
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
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
44
7
0
04 Jun 2021
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
SSeg
134
1,291
0
08 Jan 2019
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
1