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 ...

Introduction: Electroencephalography (EEG)-based mental stress detection has the potential to be applied in diverse real-world scenarios, including workplace safety, mental health monitoring, and ...

Abstract: In this study, we propose a novel architecture, the Quantum Pointwise Convolution, which incorporates pointwise convolution within a quantum neural network framework. Our approach leverages ...

Faculty of Megadata and Computing, Guangdong Baiyun University, Guangzhou, China With the continuous advancement of modern agricultural technologies, the demand for precision fruit-picking techniques ...

ABSTRACT: In this paper, a class of Choquard equation with Hardy potential in the whole space ℝ N will be considered, where the parameters p , q and α in the convolution-nonlinearity term are under a ...

Abstract: In this paper, we have proposed a method to measure the weight efficiency of pointwise convolution (weight sharing index), which finds that the weight efficiency of pointwise convolution ...

Is it possible to perform a (fused?) depthwise convolution followed by a pointwise 1x1 convolution during training by using the DNNL_ARG_ATTR_POST_OP_DW post-op? And should the ...

Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and width (number of ...