SICK has announced the global launch of AI Blob Finder Nova, an AI‑powered inspection capability delivered as part of SICK ...
Abstract: 3D instance segmentation is a pivotal yet demanding problem in scene understanding and perception. Existing approaches still fall short of fully exploiting geometric and semantic cues, and ...
InstaDrive, proposed by SJTU researchers, addresses autonomous driving’s tedious annotation and long-tail data issues. It projects 3D vehicle bounding boxes and BEV map elements into 2D instance ...
Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...
Abstract: Point cloud segmentation is an essential and efficient task in high-definition trajectory-level traffic information extraction for roadside LiDAR. State-of-the-art methods use conventional ...
Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts 02215, ...
The extraordinary pushback in at least three separate cases comes as President Trump has flooded the streets with National Guard troops and federal agents. By Alan Feuer For the third time in slightly ...
ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.
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