0266e33d3f546cb5436a10798e657d97-AuthorFeedback.pdf

Based on this, we believe that other classic9 methods would perform similarly to DeViSe if used instead in our GZSL semantic segmentation baseline. Yet, as abundantly exemplified in fully supervised learning, moving from image-level categorization to34 pixel-level recognition is not as direct or straightforward as it might seem. Moreover,toencode spatial context,37 we propose a novel graph convolutional generator which, conditioned on context graphs, generates corresponding38 structured pixel-level features. Also, as we shall clarify, our framework is not solely bound to GMMN as in [7]; it39 is in fact agnostic to the choice of the generative model.