95 citations · 111 across the 4 of their papers we have counts for
3 papers · 1 filter
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
Jacob König, Mark Jenkins, Mike Mannion +2
Surface cracks are a very common indicator of potential structural faults. Their early detection and monitoring is an important factor in structural health monitoring. Left untreat…
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and Thresholding
Jacob König, Mark Jenkins, Mike Mannion +2
Surface cracks are a common sight on public infrastructure nowadays. Recent work has been addressing this problem by supporting structural maintenance measures using machine learni…
Optimized Deep Encoder-Decoder Methods for Crack Segmentation
Jacob König, Mark Jenkins, Mike Mannion +2
Surface crack segmentation poses a challenging computer vision task as background, shape, colour and size of cracks vary. In this work we propose optimized deep encoder-decoder met…