Spatial Token

Spatial tokens represent data points within a spatial context, enabling efficient processing of complex spatial information in various machine learning tasks. Current research focuses on developing novel architectures, such as Transformers and Mamba models, to effectively utilize these tokens for tasks ranging from autonomous driving and video understanding to hyperspectral image classification and point cloud processing. This approach offers significant advantages in computational efficiency and scalability, leading to improved performance and broader applicability across diverse fields. The resulting advancements are impacting various domains, including robotics, remote sensing, and computer vision.