Learning AI Feature Representations for Upstream Image Backbone Pre-Training :hmn
Self-supervised representation learning is a successful method for developing the foundational skills of vision. This line of research is based on the idea that using big unlabeled datasets as supplementary sources of training data would improve downstream network performance and lessen the requirement for large labeled target datasets. Recent studies have demonstrated that self-supervised pre-training …