Venue: ICLR 2018 Workshop

Reviews:

final_score: rating: 7: Good paper, accept
review_content: This paper proposed a conditional network for k-shot semantic segmentation. The main idea is in line with the recent few-shot learning methods in the sense that a meta model is used to regress the parameters or latent features of the learner model — in the context of this paper, a FCN. Results show that the proposed method outperforms existing ones under a convincing experiment setup. It is a nice extension of the few-shot learning regime from recognition problems to highly structured semantic segmentation. The authors are recommended to release an extended version to describe the details of the implementation and experiments. 
review_title: Good paper, accept

final_score: rating: 7: Good paper, accept
review_content: Interesting contribution and outperformed a previous result. Few-shot segmentation is an interesting new domain to work on.
review_title: Good work

Meta-review: Congratulations, your paper was accepted to the ICLR workshop.
Decision: Accept