Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation. (arXiv:2210.05564v1 [cs.CV])

Semantic segmentation is a fundamental topic in computer vision. Several deep
learning methods have been proposed for semantic segmentation with outstanding
results. However, these models require a lot of densely annotated images. To
address this problem, we propose a new algorithm that uses HyperGraph
Convolutional Networks for Weakly-supervised Semantic Segmentation
(HyperGCN-WSS). Our algorithm constructs spatial and k-Nearest Neighbor (k-NN)
graphs from the images in the dataset to generate the hypergraphs. Then, we
train a specialized HyperGraph Convolutional Network (HyperGCN) architecture …

arxiv hypergraph networks segmentation semantic weakly-supervised