Abstract: The 6-D pose estimation is a critical work essential to achieve reliable robotic grasping. Currently, the prevalent method is reliant on keypoint correspondence. However, this approach ...

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...

Official PyTorch implementation of the paper ''A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration'' accepted by NeurIPS 2024 as poster. We present a ...