self-supervised_learning1 Masked Autoencoders Are Scalable Vision Learners 기본 정보- 학회: CVPR 2022- 저자: K. He et al.,- 기관:Facebook AI Research (FAIR) Abstract영어 원문This paper shows that masked autoencoders (MAE) are scalable self-supervised learners for computer vision. Our MAE approach is simple: we mask random patches of the input image and reconstruct the missing pixels. It is based on two core designs. First, we develop an asymmetric encoder-decoder architecture, with .. 2025. 2. 17. 이전 1 다음
