ML/DL 논문을 읽거나 공부를 하다보면 end-to-end라는 단어가 자주 보인다. Pose Invariant Model (PIM) jointly performed face frontalization and learned pose invariant representations end-to-end to allow them to mutually boost each other, and further introduced unsupervised cross-domain adversarial training and a learning to learn strategy to provide high-fidelity frontal reference face images. /Wang, Mei, and Weihong Deng..