Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Semi Supervised Learning.
class which is above a threshold (dotted line), the prediction is converted to a one-hot pseudo-label. Then, we compute the model’s prediction for a strong augmentation of the same image. The model is trained to make its prediction on the strongly-augmented version match the pseudo-label via a