GitHub

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space

Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...
IEEE

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision

Abstract: 3D occupancy prediction holds significant promise in the fields of robot perception and autonomous driving, which quantifies 3D scenes into grid cells with semantic labels. Recent works ...
Hosted on MSN

Watch animation of how the Boeing Starliner launches to space

This animation shows Boeing Starliner launching to space on board a United Launch Alliance Atlas V rocket. Starliner is one of two spacecraft built to carry astronauts to and from the International ...
Frontiers

Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification

Department of Biomedical Engineering and Health, KTH Royal Institute of Technology, Stockholm, Sweden Introduction: The classification of lesion types in Digital Breast Tomosynthesis (DBT) images is ...
Hosted on MSN

Slow motion video captures astronaut eating a slice of orange in space station

NASA astronaut Matthew Dominick enjoys a fresh delivery of orange and other fruit on the International Space Station during Expedition 71. CreditC: NASA | edited by Space.com's Steve Spaleta DHS: ...
IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

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 ...