First, we propose a novel lightweight convolutional neural network module called MSKFNet. MSKFNet adopts a bottleneck design and introduces variable kernel convolutions from VarKNet, combined with ...

Resampling-based video coding strategy is well-known for compressing high-resolution video with limited bandwidth. To keep the high frequency texture in chroma components, we propose a luma-only ...

Based on the formulation of MRI reconstruction as an inverse problem, we design the PC-RNN model with three convolutional RNN (ConvRNN) modules to iteratively learn the features in multiple scales.

We present CNNExplorer, a generalized visualization system designed to assist beginners in understanding Convolutional Neural Networks (CNNs). CNNExplorer provides an intuitive interface and detailed ...

Rolling bearings are key components in the operation of rotating machinery and are vital to modern industry. However, bearings operate in complex environments, resulting in the vibration signals ...

A Python library for analyzing recording data acquired with multi electrode array (MEA) system - kkito0726/MEA_modules ...