Deep Learning, Machine Learning, Self Supervised Learning, Aritificial Intelligence, Neural Networks.
image xn is transformed into an augmented view xnt by applying a transformation t sampled from T. The augmented view, xnt, is then mapped to a vector representation by applying a non-linear mapping. This feature vector is then projected to a unit sphere, which IMO is just a normalization process.