Semantic segmentation has innately relied on extensive pixel-level annotated data leading
to the emergence of unsupervised methodologies. Among them leveraging self-supervised …

Unsupervised semantic segmentation aims to automatically partition images into
semantically meaningful regions by identifying global semantic categories within an image …

Semantic segmentation of drone images is critical to many aerial vision tasks as it provides
essential semantic details that can compensate for the lack of depth information from …

The philosopher Immanuel Kant formulated the Categorical Imperative as the supreme
principle of all moral beings to do what is “universally good”[9, 10]. A logical consequence is …