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Found 4 papers, 1 papers with code
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotations of any kind in these documents.
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines
This paper presents an approach for real-time training and testing for document image classification.
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
We present an exhaustive investigation of recent Deep Learning architectures, algorithms, and strategies for the task of document image classification to finally reduce the error by more than half.
Ranked #27 on
Document Image Classification
on RVL-CDIP
Multilevel Context Representation for Improving Object Recognition
In this work, we propose the combined usage of low- and high-level blocks of convolutional neural networks (CNNs) for improving object recognition.
