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Found 3 papers, 1 papers with code
A Multi-Modal Multilingual Benchmark for Document Image Classification
Document image classification is different from plain-text document classification and consists of classifying a document by understanding the content and structure of documents such as forms, emails, and other such documents.
DocFormerv2: Local Features for Document Understanding
We propose DocFormerv2, a multi-modal transformer for Visual Document Understanding (VDU).
Ranked #9 on
Visual Question Answering (VQA)
on DocVQA test
(using extra training data)
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System
We present a feature aggregation architecture called Composite Appearance Network (CAN) to address the above problem.
