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Found 6 papers, 2 papers with code
Rethinking the Evaluation of Pre-trained Text-and-Layout Models from an Entity-Centric Perspective
Therefore, we claim the necessary standards for an ideal benchmark to evaluate the information extraction ability of PTLMs.
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.
Ranked #1 on
Entity Linking
on FUNSD
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
LayoutMask can enhance the interactions between text and layout modalities in a unified model and produce adaptive and robust multi-modal representations for downstream tasks.
Ranked #1 on
Semantic entity labeling
on FUNSD
Image Cropping with Composition and Saliency Aware Aesthetic Score Map
Aesthetic image cropping is a practical but challenging task which aims at finding the best crops with the highest aesthetic quality in an image.
Learning from Web Data with Self-Organizing Memory Module
However, crawled web images usually have two types of noises, label noise and background noise, which induce extra difficulties in utilizing them effectively.
Ranked #14 on
Image Classification
on WebVision-1000
Credit Card Fraud Detection Using Convolutional Neural Networks
Credit card is becoming more and more popular in financial transactions, at the same time frauds are also increasing.
