This book establishes KD as a cornerstone for efficient vision intelligence, highlighting both its fundamental problems and applications. Despite its current success, KD still suffers from reply on the experience of human experts and overlarge training overhead in large models, which provides challenges and opportunities for future research. By bridging performance and practicality, KD remains vital to advancing scalable, next-generation computer vision.