Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

“Our research shows that there’s strong demand for storage consumption models in Europe,” said Luis Fernandes, Senior Research Manager, IDC. “Organizations want to free up staff for higher-value work ...

As House Republicans consider making deep cuts to Medicaid, Santa Clara County wants to transition to a “single plan” model for Medi-Cal managed care in hopes of improving reimbursement rates. But ...

Apple’s Machine Learning team, in collaboration with researchers from Nanjing University and The Hong Kong University of Science and Technology, has announced an interesting 3D AI model called ...

SAN DIEGO--(BUSINESS WIRE)--VeeamON--Object First, the provider of Ootbi (Out-of-the-Box-Immutability), the ransomware-proof backup storage appliance purpose-built for Veeam ®, today announced a new ...

Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems, edge devices, and low-latency applications. Rather than competing in the race for scale among ...