A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47969-4_16
Reference28 articles.
1. Ahmed, T.U., et al.: An integrated CNN-RNN framework to assess road crack. In: 2019 22nd International Conference on Computer and Information Technology (ICCIT), pp. 1–6 (2019)
2. Alom, M.Z., et al.: Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation. arXiv preprint:1802.06955 (2018)
3. Lecture Notes in Computer Science;UH Billah,2019
4. Diakogiannis, F.I., et al.: ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data. ISPRS J. Photogramm. Remote. Sens. 162, 94–114 (2020)
5. Huang, H., et al.: UNet 3+: a full-scale connected UNet for medical image segmentation. In: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1055–1059 (2020)
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