A simple, efficient and scalable contrastive masked autoencoder for learning visual representations

Shlok Mishra, Joshua Robinson, Huiwen Chang +4

We introduce CAN, a simple, efficient and scalable method for self-supervised learning of visual representations. Our framework is a minimal and conceptually clean synthesis of (C)…