Deep convolutional neural networks for semantic segmentation of cracks
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control and Health …, 2022 - Wiley Online Library
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
Deep convolutional neural networks for semantic segmentation of cracks
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control and Health Monitoring, 2022 - hub.hku.hk
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end-to-end deep convolutional …
wide range of noise and to evaluate the performance of end-to-end deep convolutional …
Deep convolutional neural networks for semantic segmentation of cracks
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control and Health Monitoring, 2021 - infona.pl
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
[PDF][PDF] Deep convolutional neural networks for semantic segmentation of cracks
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control and Health …, 2022 - drive.google.com
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end-to-end deep convolutional …
wide range of noise and to evaluate the performance of end-to-end deep convolutional …
Deep convolutional neural networks for semantic segmentation of cracks.
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control & Health …, 2022 - search.ebscohost.com
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
Deep convolutional neural networks for semantic segmentation of cracks
JJ Wang, YF Liu, X Nie, YL Mo - Structural Control and Health Monitoring, 2021 - infona.pl
A large crack detection dataset of 2446 manually labeled images is established to cover a
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …
wide range of noise and to evaluate the performance of end‐to‐end deep convolutional …