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Found 5 papers, 1 papers with code
Evaluating Adversarial Robustness on Document Image Classification
Adversarial attacks and defenses have gained increasing interest on computer vision systems in recent years, but as of today, most investigations are limited to images.
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents
Information Extraction from visually rich documents is a challenging task that has gained a lot of attention in recent years due to its importance in several document-control based applications and its widespread commercial value.
Optical Character Recognition
Optical Character Recognition (OCR)
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
This new model, that we call EfficientQA, takes advantage from the pair of sequences kind of input of BERT-based models to build meaningful dense representations of candidate answers.
Ranked #124 on
Question Answering
on SQuAD1.1
Extractive Question-Answering
Natural Language Understanding
+1
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering
In this paper, we introduce MIX : a multi-task deep learning approach to solve Open-Domain Question Answering.
VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach
We introduce a novel approach for scanned document representation to perform field extraction.
Ranked #1 on
Document Layout Analysis
on RVL-CDIP
