Over the recent years, there has been a growing interest in class-incremental 3D object detection based on point clouds. However, the current state-of-the-art (SOTA) methods still fall short of ...

A robot powered by V-JEPA 2 can be deployed in a new environment and successfully manipulate objects it has never encountered before.

To address these issues, this paper proposes a marine optical remote sensing object detection architecture based on transformer and dual path architecture (MOD-TD), aiming to improve the accuracy and ...

Foreign object detection (FOD) in railway catenary systems is crucial for ensuring operational safety and preventing catastrophic failures. However, current detection frameworks encounter two ...

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 ...

Pancreatic ductal adenocarcinoma (PDAC), known for its high fatality rate, is often diagnosed in its advanced stages where surgical options are not viable. This highlights the critical need for ...

Object First at VeeamON 2025 Get a first look at the Ootbi Consumption Model — watch the live stream from the VeeamON show floor today at 10:30 AM PT.

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

Midjourney introduces first new image generation model in over a year The new model is now in public alpha and has personalization enabled by default.