Dense Contrastive Learning for Self-Supervised Visual Pre-Training https://arxiv.org/abs/2011.09157 Dense Contrastive Learning for Self-Supervised Visual Pre-Training To date, most existing self-supervised learning methods are designed and optimized for image classification. These pre-trained models can be sub-optimal for dense prediction tasks due to the discrepancy between image-level predicti..
