Reviews: Cross Attention Network for Few-shot Classification

Post rebuttal I'd like to thank the authors for performing the additional ablation, comparisons via visualizations, and experiment in a cluttered environment, as I suggested in my reviews. I think these additional results would be good additions (to the Appendix at the very least) and strengthen the paper. I continue to recommend acceptance. I do agree with R3 though that the proposed transductive method is very similar to previous works for semi-supervised learning, and it would be useful to be more clear about this in the writing. Before rebuttal Summary This paper introduces a state-of-the-art approach to few-shot classification. There are two orthogonal components proposed: the first influences the embedding function applied to the images of an episode, and the second introduces a strategy for using the query set of each episode in a transductive manner as additional unlabeled data for refining the within-episode classifier.