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Learning to detect, localize and recognize many text objects in document images from few examples.

, , and . Int. J. Document Anal. Recognit., 21 (3): 161-175 (2018)

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Introducing Domain and Typing Bias in Automata Inference., , , and . ICGI, volume 3264 of Lecture Notes in Computer Science, page 115-126. Springer, (2004)Confidence Estimation for Object Detection in Document Images., , and . Pattern Recognit. Lett., (February 2023)Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks., , and . ICPR, page 2134-2141. IEEE, (2020)Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers., , , and . HIP@ICDAR, page 31-36. ACM, (2021)How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning., , , and . ICDAR (2), volume 14188 of Lecture Notes in Computer Science, page 330-347. Springer, (2023)Full-Page Text Recognition: Learning Where to Start and When to Stop., , and . ICDAR, page 871-876. IEEE, (2017)SIMARA: A Database for Key-Value Information Extraction from Full-Page Handwritten Documents., , , and . ICDAR (3), volume 14189 of Lecture Notes in Computer Science, page 421-437. Springer, (2023)A Comparison of Recognition Strategies for Printed/Handwritten Composite Documents., , and . ICFHR, page 158-163. IEEE Computer Society, (2014)Fully convolutional network with dilated convolutions for handwritten text line segmentation., , , , , and . Int. J. Document Anal. Recognit., 21 (3): 177-186 (2018)Robust text line detection in historical documents: learning and evaluation methods., , and . Int. J. Document Anal. Recognit., 25 (2): 95-114 (2022)