DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. (arXiv:2201.08295v1 [cs.CV])

In this paper, we introduce a new deep learning framework called DIVA-DAF. We
have developed this framework to support our research on historical document
image analysis tasks and to develop techniques to reduce the need for
manually-labeled ground truth. We want to apply self-supervised learning
techniques and use different kinds of training data. Our new framework aids us
in performing rapid prototyping and reproducible experiments. We present a
first semantic segmentation experiment on DIVA-HisDB using our framework,
achieving state-of-the-art results. …

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