ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention

arXiv:2311.16682v2 Announce Type: replace
Abstract: Sketch semantic segmentation is a well-explored and pivotal problem in computer vision involving the assignment of pre-defined part labels to individual strokes. This paper presents ContextSeg - a simple yet highly effective approach to tackling this problem with two stages. In the first stage, to better encode the shape and positional information of strokes, we propose to predict an extra dense distance field in an autoencoder network to reinforce structural information learning. In the second …

abstract arxiv attention computer computer vision context cs.cv cs.gr labels paper part pivotal segmentation semantic simple stage type vision