Deep Learning, Artificial Intelligence, Self Supervised Learning, Clustering, Contrastive Learning.
directly compare image features. Prototype vectors are learned along with the ConvNet parameters by backpropragation. Intuitively, the proposed method compares the features zt and zs using the intermediate codes qt and qs. If these two features capture the same information, it should be possible to