Outlook Attention

Outlook attention, a mechanism enhancing attention mechanisms in various machine learning models, focuses on incorporating local context for improved performance across diverse tasks. Current research explores its application in natural language processing, computer vision (including vision transformers), and other domains, often integrating it with transformer-based architectures or deep learning models. This research aims to improve model accuracy, efficiency, and robustness, impacting fields ranging from autonomous driving and medical image analysis to natural language understanding and knowledge management systems.