35 citations · 101 across the 16 of their papers we have counts for
4 papers · 2 filters
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
Vincent Christlein, Anguelos Nicolaou, Mathias Seuret +2
This competition investigates the performance of large-scale retrieval of historical document images based on writing style. Based on large image data sets provided by cultural her…
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks
Michele Alberti, Angela Botros, Narayan Schuez +3
In this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolution operations. While previous…
Deep Generalized Max Pooling
Vincent Christlein, Lukas Spranger, Mathias Seuret +3
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in se…
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath +3
This paper introduces a new way for text-line extraction by integrating deep-learning based pre-classification and state-of-the-art segmentation methods. Text-line extraction in co…