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 ...
Maintain single source of truth for documentation, validation and input/output of HTTP API. Avoid dependency on compile time code generation. Improve productivity and reliability by abstracting HTTP ...
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