Full Range

"Full range" research encompasses diverse applications aiming for complete coverage across a spectrum of possibilities, from encompassing all head orientations in pose estimation to achieving zero voltage switching across the entire operating range in power converters. Current efforts focus on robust model architectures, such as those employing 6D rotation matrix representations and graph neural networks, to address challenges like ambiguous labels and noisy data. These advancements improve accuracy and efficiency in various fields, including computer vision, power electronics, and autonomous driving, by enabling more reliable and comprehensive system performance.