A US$3 million Stradivarius. A subway tunnel. And 52 lousy bucks in tips. That, in a nutshell, is why Informatica's first ...
Instance segmentation unifies object detection and semantic segmentation by identifying and delineating each object instance at the pixel level. Early methods relied on separate stages of region ...
TreeXAlgorithm - Burmeister, Josafat-Mattias, Tockner, Andreas, Reder, Stefan, Engel, Markus, Richter, Rico, Mund, Jan-Peter, & Döllner, Jürgen (2025). "treeX ...
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 ...
We release COCO-Videos, a new dataset for instance and panoptic segmentation which follows the COCO labeling format. We also rely on semantic-level labels in the KITTI-STEP dataset for evaluation on ...
Abstract: Point cloud instance segmentation is crucial for 3D scene understanding in robotics. However, existing methods heavily rely on learning-based approaches that require large amounts of ...
Abstract: Instance segmentation of remote sensing imagery (RSI) is vital for applications like geographic information system (GIS) updates and urban planning. Due to RSI’s diversity (e.g., scale ...
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.
The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results