BYOL: Bootstrap Your Own Latent — A New Approach to Self-Supervised Learning

Self-supervised learning has emerged as a powerful technique for training deep neural networks without relying on manual annotations. Recently, a new approach called Bootstrap Your Own Latent (BYOL) has gained attention in the field of computer vision. BYOL offers a promising method for learning powerful representations from unlabeled data. In this blog, we will explore the key concepts of BYOL and discuss its significance in advancing self-supervised learning.