Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Image Classification.
Learning The key idea of Rotation self-supervision (RotNet) is to rotate an input image then predict the rotation degree: where R is the set of the 4 rotation degrees {0, 90, 180, 270} which results in a 4-class classification problem. The self-supervised loss is also applied to the labeled