What is a crash? It is the collapse of that belief. AI has given rise to two bubbles. There is a stock market bubble – the ...
S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method
Abstract: DenseNet has strong expressiveness in many computer vision tasks, but the complexity of its model makes it difficult to deploy to devices with limited computing resources. In this paper, we ...
Abstract: Finite-difference time-domain (FDTD) method combined with the recursive convolution technique is applied to compute lightning electromagnetic pulses (LEMP) for dispersive ground adopting ...
DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...
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 ...
Two systems with identical parameter counts can behave dramatically differently depending on how they are built.
Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results