In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...
Weather forecasting is notoriously wonky—climate modeling even more so. But their slowly increasing ability to predict what ...
CITNet: Convolution Interaction Transformer Network for Hyperspectral and LiDAR Image Classification
Abstract: Transformers are increasingly popular in computer vision, which treat an image as a sequence of image patches and learn robust global features from the sequence. However, pure transformers ...
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 ...
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