Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD
원문 초록
This study focuses on understanding Bengali Document Layouts using advanced computer programs: Detectron2, YOLOv8, and SAM. We looked at lots of different Bengali documents in our study. Detectron2 is great at finding and separating different parts of documents, like text boxes and paragraphs. YOLOv8 is good at figuring out different tables and pictures. We also tried SAM, which helps us understand tricky layouts. We tested these programs to see how well they work. By comparing their accuracy and speed, we learned which one is good for different types of documents. Our research helps make sense of complex layouts in Bengali documents and can be useful for other languages too.
함께 살펴볼 논문
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Class-Agnostic Region-of-Interest Matching in Document Images
SFDLA: Source-Free Document Layout Analysis
PP-DocLayout: A Unified Document Layout Detection Model to Accelerate Large-Scale Data Construction
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction
토론
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