Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...

Abstract: Classifying 2D images using a 2D image dataset is less taxing. Detecting 3D objects efficiently is often a challenge since it requires a decent amount of computational power. In order to ...

3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive ...

Democrats on the House Oversight Committee released a new batch of photos from Jeffrey Epstein’s estate on Friday, including images of Donald Trump and several other powerful figures in the late sex ...

What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide ...

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...

The “Wicked” musical and its offshoot movies are meant to celebrate diversity and preach radical acceptance in the face of rising fascism. The protagonist, the witch Elphaba, is consistently misjudged ...

Watching 3D movies and TV shows is a fun and exciting experience, where images leap out of the screen. To get this effect, you usually have to wear a special pair of glasses. But that could soon be a ...