119 citations · 224 across the 3 of their papers we have counts for
3 papers
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines
Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke +1
This paper presents an approach for real-time training and testing for document image classification. In production environments, it is crucial to perform accurate and (time-)effic…
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed +1
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 b…
Multilevel Context Representation for Improving Object Recognition
Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki
In this work, we propose the combined usage of low- and high-level blocks of convolutional neural networks (CNNs) for improving object recognition. While recent research focused on…