Hierarchical Text Segmentation
3 papers with code • 1 benchmarks • 1 datasets
Segment strokes, words, text-lines, paragraphs (layout analysis) in images within a unified framework
HierText
Most implemented papers
Hierarchical Text Segmentation for Medieval Manuscripts
In this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, noisy transcriptions with no sentence markers, and strong correlations between sections for which topical information is no longer sufficient to draw segmentation boundaries.
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
ymy-k/hi-sam
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In terms of the AMG mode, Hi-SAM segments text stroke foreground masks initially, then samples foreground points for hierarchical text mask generation and achieves layout analysis in passing.
