Abstract: Deep learning-based speech enhancement methods have significantly improved speech quality and intelligibility. Convolutional neural networks (CNNs) have been proven to be essential ...
Abstract: Remote sensing image target detection plays a pivotal role in Earth observation, offering substantial value for applications such as urban planning and environmental monitoring. Due to 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 ...
A high-performance computing project implementing and optimizing various CUDA-based 1D convolution algorithms. This repository explores different optimization techniques and compares their performance ...
SIAM Review contains articles that are written for a wide scientific audience. Articles include expository or survey papers focusing on important advances in applied or computational mathematics, or ...
Metal artifacts, caused by high-density metallic implants in computed tomography (CT) imaging, severely degrade image quality, complicating diagnosis and treatment planning. While existing deep ...
The developer behind Reverberate and Filtrate has released a new convolution reverb processor on the iOS App Store. Operable on iPhone and iPad, Mobile Convolution can load up and import impulse ...
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