Name
Abstract | ||
|---|---|---|
•Automatic generation of documents with ground-truths required for layout recognition.•Bayesian Network formulation to capture complex and diverse layouts.•Stochastic template characterization to encode domain specific similarities and variations.•Deep layout detection on synthetic documents matches performance of real documents.•Quantitative comparisons, qualitative analysis, ablation studies and visual explanations. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108660 | Pattern Recognition |
Keywords | DocType | Volume |
Synthetic image generation,Bayesian network,Layout analysis | Journal | 128 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Natraj Raman | 1 | 0 | 0.34 |
| Sameena Shah | 2 | 0 | 0.34 |
| Manuela Veloso | 3 | 8563 | 882.50 |