Abstract: In industrial bin-picking, robotic systems must estimate the poses of multiple object instances, where accurate pose estimation is essential for reliable downstream manipulation and grasping ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
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 ...
Abstract: Dual quadrics as landmarks in object-oriented SLAM have recently attracted much attention due to the advantages in the mathematical completeness of projective geometry. Current researches ...