Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...
Abstract: Supervised 2D detection methods rely heavily on large amounts of labeled data to enable robust model generalization. However, manually annotating such datasets is inherently unscalable and ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: The outstanding results of Machine Learning models and Artificial Intelligence in general have promoted the development of industrial solutions based on autonomous agents equipped with ...