Weakly-supervised structural surface crack detection algorithm based on class activation map and superpixel segmentation
Abstract This paper proposes a weakly-supervised structural surface crack detection algorithm that can detect the crack area in an image with low data labeling cost. The algorithm consists of a convolutional neural networks Vgg16-Crack for classification, an improved and optimized class activation m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-11-01
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| Series: | Advances in Bridge Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43251-023-00106-0 |