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FATURA: A Multi-Layout Invoice Image Dataset for Document Analysis and Understanding
In this paper, we introduce FATURA, a pivotal resource for researchers in the field of document analysis and understanding.
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition
In this paper, we propose a lite transformer architecture for full-page multi-script handwriting recognition.
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
In this paper, we explore the potential of continual self-supervised learning to alleviate the catastrophic forgetting problem in handwritten text recognition, as an example of sequence recognition.
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
Second, it allows the model to exploit larger bi-dimensional context information to identify the semantic categories, reaching a higher final prediction accuracy.
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