Bilateral Network
Bilateral networks leverage dual processing pathways, mirroring the structure of the human brain's hemispheres, to improve performance in various tasks. Current research focuses on applying this architecture to diverse problems, including image processing (depth completion, semantic segmentation, super-resolution), video analysis (demoireing, scene parsing), and motor control in robotics, often incorporating techniques like attention mechanisms and multi-scale feature fusion. These advancements demonstrate the effectiveness of bilateral processing for achieving superior accuracy and efficiency compared to unilateral approaches, with implications for improving real-time applications and advancing our understanding of information processing in biological and artificial systems.