Reverb is an initiative and a reporting team from MPR News focused on serving younger (and young-at-heart) Minnesotans. We know Minnesota is changing and younger adults want news in new, more ...
Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
Abstract: Convolution and self-attention are two powerful techniques for multisource remote sensing (RS) data fusion that have been widely adopted in Earth observation tasks. However, convolutional ...
So many great sounds – the sky's the limit for tone. Neural Capture is fast and reliable. Rugged enclosure. Features updated regularly. Stomp+rotary actuators are very clever. MusicRadar's got your ...
Abstract: Object detection (OD) in unmanned aerial vehicle (UAV) images faces many challenges, with diverse-scale objects and small objects being particularly prominent issues. To alleviate these ...
Abstract: The separation of the data capture and analysis in modern vision systems has led to a massive amount of data transfer between the end devices and cloud computers, resulting in long latency, ...
Abstract: A single-vibration signal is no longer adequate to fulfill the requirements of intelligent fault diagnosis (IFD) of bearings in complex systems. With the rapid advancement of the industrial ...
Abstract: Accurate and generalized collaborative prediction of multi-cluster renewable energy power generation is both an inevitable trend and urgent demand as the growth of multi-region ...
Abstract: Road information from high-resolution remote-sensing images is widely used in various fields, and deep-learning-based methods have effectively shown high road-extraction performance. However ...
Abstract: Real-time and accuracy are important evaluation metrics of robotic grasp detection algorithms. To further improve the accuracy on the premise of ensuring real-time performance, in this paper ...
Abstract: Recently proposed LaMa [25] introduce Fast Fourier Convolution (FFC) [4] into image inpainting. FFC empowers the fully convolutional network to have a global receptive field in its early ...
Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...
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