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NENET: An Edge Learnable Network for Link Prediction in Scene Text
[article]
2020
arXiv
pre-print
Text detection in scenes based on deep neural networks have shown promising results. Instead of using word bounding box regression, recent state-of-the-art methods have started focusing on character bounding box and pixel-level prediction. This necessitates the need to link adjacent characters, which we propose in this paper using a novel Graph Neural Network (GNN) architecture that allows us to learn both node and edge features as opposed to only the node features under the typical GNN. The
arXiv:2005.12147v1
fatcat:aowflbv6wbaurosdmnaskzpft4