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Found 4 papers, 2 papers with code
Unsupervised Neural Domain Adaptation for Document Image Binarization
These techniques take advantage of the knowledge learned in one domain, for which labeled data are available, to apply it to other domains for which there are no labeled data.
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
In the context of supervised statistical learning, it is typically assumed that the training set comes from the same distribution that draws the test samples.
A selectional auto-encoder approach for document image binarization
Binarization plays a key role in the automatic information retrieval from document images.
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks
This dataset grows continuously thanks to the users' feedback, and is publicly available for research.
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