Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Semi Supervised Learning.
Regularization Consistency regularization utilizes unlabeled data by relying on the assumption that the model should output similar predictions when fed perturbed versions of the same image. The loss function is: 1.3. Pseudo-Label (PL) Pseudo-Label (PL) leverages the idea of using the model itself