Pedestrian trajectory prediction is critical for understanding human behavior. The prevailing approaches employ neural networks to predict trajectories from large amounts of trajectory data. However, ...

Recently, contrastive learning (CL) has shown excellent performance in the hyperspectral image (HSI) classification. However, existing CL-based methods face two specific challenges: 1) multiview ...