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Yujie Wang, Jun Wang, Chao Wang, Xin Wen, Chen Yan, Yuxiang Guo and Rui Cao
Modern crack detection algorithms based on deep learning have unsolved issues, such as an abundance of parameters in the resulting models and lack of context information. Such issues may lower the efficiency of feature extraction and lead to unexpected t...
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Wenzhuo Zhang, Mingyang Yu, Xiaoxian Chen, Fangliang Zhou, Jie Ren, Haiqing Xu and Shuai Xu
Deep learning technology, such as fully convolutional networks (FCNs), have shown competitive performance in the automatic extraction of buildings from high-resolution aerial images (HRAIs). However, there are problems of over-segmentation and internal c...
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Danet, J.-L. Foissac, X. Zreik, L. Salar, P. Verdin, E. Nourrisseau, J.-G. Garnier, M.
Pág. 644 - 674
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Jarausch, W.; Danet, J. L.; Labonne, G.; Dosba, F.; Broquaire, J. M.; Saill
Pág. 782 - 790
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