Abstract: Pixel-level adaptive convolution, which overcomes the deficiency of the spatial-invariance of standard convolution, is always limited to performing feature extraction from local patches and ...
Abstract: The development of flexible Convolutional Neural Network (CNN) accelerators is critical for large-scale inference and training. Accelerators based on the General Matrix Multiplication (GEMM) ...
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