“We’ve decided to conduct a joint small arms training with our German partners in order to develop interoperability, ...

Abstract: The separation of woody and foliage components is beneficial in estimating the physical parameters of forests. However, many current methods incur high computational costs and rely on ...

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...

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 ...