no code implementations • 8 Feb 2022 • Jacob König, Mark Jenkins, Mike Mannion, Peter Barrie, Gordon Morison
It outlines the various tasks that are solved through applying computer vision algorithms to surface cracks in a structural health monitoring setting and also provides in-depth reviews of recent fully, semi and unsupervised approaches that perform crack classification, detection, segmentation and quantification.
1 code implementation • 1 Sep 2021 • Jacob König, Mark Jenkins, Mike Mannion, Peter Barrie, Gordon Morison
Our work proposes a weakly supervised approach that leverages a CNN classifier in a novel way to create surface crack pseudo labels.
no code implementations • 14 Aug 2020 • Jacob König, Mark Jenkins, Mike Mannion, Peter Barrie, Gordon Morison
Specifically we propose a decoder-part for an encoder-decoder based deep learning architecture for semantic segmentation and study its components to achieve increased performance.