SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will cause repeated ...
Abstract: Optimizing convolution operations is critical for enhancing the performance of convolutional neural networks (CNNs). The Winograd convolution algorithm, renowned for its significant ...
In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
1 UFR Science and Technology, University of Man, Man, Côte d’Ivoire. 2 Laboratory of Communication and Information Science and Technology (LSTCI), National Polytechnic Institute Houphouët Boigny, ...
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