Abstract: Unsupervised domain adaptation (UDA) frameworks have shown good generalization capabilities for 3D point cloud semantic segmentation models on clean data. However, existing works overlook ...

Multicentric Validation of a Complete Blood Count–Based Model for Breast Cancer Risk Stratification in Women Age 40-49 Years AI segmentation using Segment Anything Model 2 (SAM 2) was evaluated from ...

You can download and 3D print the little spaceman from Project Hail Mary, and it's inspiring, like the movie itself. James has been writing about technology for years ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

Fei-Fei Li’s World Labs has secured a $200 million investment from software design giant Autodesk as part of a larger $1 billion round from backers, including AMD, Emerson Collective, Fidelity, Nvidia ...

This repo contains a PyTorch an implementation of different semantic segmentation models for different datasets. Note that when using COCO dataset, 164k version is used per default, if 10k is prefered ...

What if you could turn a simple photo into a fully realized 3D model, all without spending a dime? Below, Matthew Berman takes you through how SAM 3D, an open source platform from Meta, is ...

As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...

Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...

Three critical security flaws have been disclosed in an open-source utility called Picklescan that could allow malicious actors to execute arbitrary code by loading untrusted PyTorch models, ...