7504adad8bb96320eb3afdd4df6e1f60-AuthorFeedback.pdf

Moreover, all reviewers recognized thesuperior performance of our simple yet effective3 method.[R1,R2,R3,R4]. Our method implicitly applies constraints tounseen categories9 by exploring the relations between seen and unseen categories for the feature generation, while [1] purely employs10 the seen categories to learn the feature generator, leading to a poor representative ability for the generated unseen11 features. No. Westrictly followthe zero-shot settings described in 3,21 thus the pixels and visual features of unseen classes areneverused during training. Thus, we can segment images with both seen and unseen24 classes. The difference is described in the second contribution given above.