Hydrographic maps reveal subsurface features with the potential to hold fish, though the degree to which they do depends ...
Abstract: Kernel point convolution (KPConv) defines convolutional weights based on Euclidean distances between kernel points and input points and has shown good segmentation results on several ...
Abstract: Despite its relatively recent history, deep learning (DL)-based source code analysis is already a cornerstone in machine learning for compiler optimization. When applied to the ...
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