Abstract: Benefiting from the powerful feature extraction and feature correlation modeling capabilities of convolutional neural networks (CNNs) and Transformer models, these techniques have been ...

In automation, precision and reliability are no longer optional; they are requirements. For a wide variety of machine types and processes, linear guides provide that accuracy and high-capacity travel.

Abstract: Although self-supervised learning approaches have demonstrated tremendous potential in multi-frame depth estimation scenarios, existing methods struggle to perform well in cases involving ...