The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...

Bucks County Sheriff terminates ICE partnership: 'Not going to be allocating our limited resources to doing ICE's job for it' ...

Actress and comedian Amy Sedaris left viewers of CNN’s New Year’s Eve broadcast fuming over a “transphobic” joke. The shimmering ball drop in Times Square, marking the beginning of the new year, has ...

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...