NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:245
Title:Zero-Shot Semantic Segmentation

The submission originally received mixed scores. The reviewers acknowledged that the submission is the first work that addresses zero-shot semantic image segmentation, but they criticized the novelty compared to existing classification methods and identified shortcomings of the experimental setting. The reviewers appreciated the author response and subsequently discussed the work in detail. However, the conclusion was that despite some shortcomings, the community will potentially benefit from the work and that the submission should be accepted. The authors are strongly encouraged to make their results understandable and reproducible, e.g. by releasing code, complete outputs and ideally pretrained models.