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 ...

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 ...

Andromeda has gained an exceptionally faint companion that may trace its origin back to the early universe. The newly ...

Home service robots may soon be able to determine on their own whether a frequently used item has gone missing, whether ...

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' ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

Zilliz, a leading AI data infrastructure company and the creator of Milvus, recently announced Loon, the new storage engine that powers Zilliz Vector Lakebase and ships in Milvus 3.0. Loon is the lake ...

AI-powered 3D generation has made creating digital models easier than ever. But for makers, collectible figure creators, prop ...

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...

This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...

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

When a bright fireball streaked across the Alaska sky last spring, the usual tools scientists rely on to track such ...