Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Image Classification.
non-negative scalar weight and θ is the parameters for model. For self-supervised learning, S⁴L can choose whether to include the minibatch xl into the self-supervised loss, i.e. apply Lself to the union of xu and xl. So, there are Ll, Lu, and Lself losses. 1.1. S⁴L-Rotation for Self-Supervised