Abstract: Automatic identification of faults on seismic structural images is a challenging yet crucial task in quantitative seismic interpretation. Human picking or attribute-based fault detection ...
Abstract: The deep convolutional network has shown excellent performance in medical image analysis. However, almost all network variants are presented for one specific task, e.g., segment pancreas on ...
To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.
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