Researchers develop a novel vote-based model for more accurate hand-held object pose estimation Researchers have developed a new deep learning framework for accurate and robust hand-held object ...

A multimodal neural network integrating morphology and spectral energy distribution data improves classification accuracy for ...

Making that easier is the goal of the Segment Anything Model (SAM), just released under the Apache 2.0 license. The online demo has a bank of examples, but also works with uploaded images.

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

NVIDIA cited robotics and architecture as other use cases. The company said that, based on a training dataset of car images, GET3D was able to generate sedans, trucks, race cars and vans.