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09/11/2023
TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language
The field of visual document understanding has witnessed a rapid growth ...
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08/24/2023
Beyond Document Page Classification: Design, Datasets, and Challenges
This paper highlights the need to bring document classification benchmar...
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05/08/2023
SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation
Instance-level segmentation of documents consists in assigning a class-a...
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09/21/2022
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
Despite recent advances in automatic text recognition, the performance r...
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08/23/2022
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
Geometric Deep Learning has recently attracted significant interest in a...
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03/09/2022
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
In this work, we propose Text-Degradation Invariant Auto Encoder (Text-D...
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01/27/2022
DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer
Understanding documents with rich layouts is an essential step towards i...
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01/25/2022
DocEnTr: An End-to-End Document Image Enhancement Transformer
Document images can be affected by many degradation scenarios, which cau...
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07/09/2021
Graph-based Deep Generative Modelling for Document Layout Generation
One of the major prerequisites for any deep learning approach is the ava...
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07/06/2021
DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis
Despite significant progress on current state-of-the-art image generatio...
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10/24/2018
Fault Area Detection in Leaf Diseases using k-means Clustering
With increasing population the crisis of food is getting bigger day by d...
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10/23/2018
