Layer Segmentation

Layer segmentation, the process of partitioning data (images, videos, or other multi-layered data) into meaningful constituent layers, aims to improve analysis and processing by isolating individual components. Current research focuses on applying deep learning models, including GANs, CNNs, Transformers, and diffusion models, to achieve accurate segmentation across diverse applications such as medical imaging (e.g., separating bone layers in radiographs, delineating kidney structures), video quality assessment, and UI design. These advancements enable improved diagnostics, enhanced video analysis, more efficient model compression, and automated UI design processes, ultimately impacting various scientific fields and practical applications.