We propose a crack detection method for nuclear power plant inspection videos by fine tuning a deep neural network for detecting local patches containing cracks ...
We propose a crack detection method for nuclear power plant inspection videos by fine tuning a deep neural network for detecting local patches containing cracks ...
A crack detection method for nuclear power plant inspection videos is proposed by fine tuning a deep neural network for detecting local patches containing ...
We propose a crack detection method for nuclear power plant inspection videos by fine tuning a deep neural network for detecting local patches containing cracks ...
We propose a crack detection method for nuclear power plant inspection videos by fine tuning a deep neural network for detecting local patches containing cracks ...
A convolutional neural network is proposed to detect crack patches in each video frame, while the proposed data fusion scheme maintains the spatiotemporal ...
In 2016, Schmugge et al. (2016) proposed a method based on spatial–temporal grouping of local patches to detect crack in nuclear power plant and achieved 0.86 ...
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Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches. In 2016 IEEE Winter Conference on Applications of Computer ...
Schmugge, Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches, с. 1; Sivic, J., Russell, B.C., Efros, A.A., Zisserman ...
Grizzi, C. Joffe and M. C. Shin, "Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches," in 2016 IEEE Winter.