Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
Abstract: Dilated convolution is a powerful technique for expanding the receptive field without increasing the convolution kernel size, making it highly valuable in image segmentation tasks. However, ...
Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...
Recently, significant advancements have been made in the field of efficient single-image super-resolution, primarily driven by the innovative concept of information distillation. This method adeptly ...
SYCAMORE – A new place to find some crunchy and sweet snacks and support local has opened in Sycamore. Kernel’s Gourmet Popcorn & More is open for business at 610 Plaza Drive Suite 1, Sycamore. The ...
The current method of the spectral resolution convolution kernel assumes that there is a single convolution kernel which does not vary with wavelength. This assumes that the spectral resolution is the ...
This study centers on incorporating memory effects (the impact of past events on current states) into mathematical models for population dynamics. It introduces a framework based on the gamma ...
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