ce016f59ecc2366a43e1c96a4774d167-AuthorFeedback.pdf

We thank the reviewers for their valuable comments and recognition of the novelty and results of our method, e . We respond to the major comments below but will address all feedback in our revised version. Proxies are globally learnable "cluster centers" while Clustering [13] directly regards There are actually two types of constraints among proxies in our method, i . "soft" constraint, by encouraging proxies to be close to their anchor samples ( In practice, similar proxies tend to be sufficiently close to each other in the later training stage. Eq. (5)) proxies for each sample during back-propagation, and we use a small batch size As future work, we will focus more on addressing such datasets with huge inter-class variance.