Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Simon Vandenhende

Contrastive self-supervised learning has outperformed supervised pretraining on many downstream tasks like segmentation and object detection. However, current methods are still primarily applied to curated datasets like ImageNet.