IEEE

An Attention Architecture With Twice Attention Convolution and Simplified Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...
ABC News

Shein launches investigation after using likeness of Luigi Mangione to model clothing

The company has since taken down the image of the accused killer. Fast fashion giant Shein is conducting an investigation of its internal processes after using the likeness of Luigi Mangione to model ...
CNN

‘They’re using us as pawns on their political chessboard’: How Venezuelans abroad feel the tension with the US

“They use us. Some use us as pawns in their political schemes, and others as collateral damage.” This is how Adelys Ferro, who works at an NGO that advocates for the rights of Venezuelan immigrants, ...
IEEE

Efficient Hyperspectral Image Classification using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of ...