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Found 3 papers, 1 papers with code
RelationNet2: Deep Comparison Columns for Few-Shot Learning
We thus propose a new deep comparison network comprised of embedding and relation modules that learn multiple non-linear distance metrics based on different levels of features simultaneously.
Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models
In order to bridge the gap between panel attributes and the composition within each panel, we also propose a recursive page splitting algorithm to generate the panel layout for a poster.
Learning to Generate Posters of Scientific Papers
Then, given inferred layout and attributes, composition of graphical elements within each panel is synthesized.
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