2020
A critical analysis of self-supervision, or what we can learn from a single image
ICLR 2020poster
We look critically at popular self-supervision techniques for learning deep convolutional neural networks without manual labels. We show that three different and representative methods, BiGAN, RotNet and DeepCluster, can learn the first few layers of a convolutional network from a single image as we…