Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...

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Abstract: Masked image modeling (MIM) has been proved to be an optimal pretext task for self-supervised pretraining (SSP), which can facilitate the model to capture an effective task-agnostic ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

PSYONIC turns its FDA-cleared bionic hand into a data engine, feeding ABB and NVIDIA robots the human dexterity data physical ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

One of the first commercial capture systems built to give humanoid robots the 3D signals they use at inference: depth, ...

When users purchase VoxMeta H1 Pro, they are not only getting an industrial-grade 3D scanner, but also precise, usable ...

This repository contains the data and code for ECCV2020 paper Segmenting Transparent Objects in the Wild. For downloading the data, you can refer to Trans10K Website. put the images in './demo/imgs' ...

Japan’s Hayabusa2 spacecraft, already famous for returning samples from asteroid Ryugu, is less than three months from its ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...