9 citations · 21 across the 9 of their papers we have counts for
4 papers · 1 filter
Exploring Architectures for CNN-Based Word Spotting
Eugen Rusakov, Sebastian Sudholt, Fabian Wolf +1
The goal in word spotting is to retrieve parts of document images which are relevant with respect to a certain user-defined query. The recent past has seen attribute-based Convolut…
Learning Attribute Representation for Human Activity Recognition
Fernando Moya Rueda, Gernot A. Fink
Attribute representations became relevant in image recognition and word spotting, providing support under the presence of unbalance and disjoint datasets. However, for human activi…
Weakly Supervised Object Detection with Pointwise Mutual Information
Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink
In this work a novel approach for weakly supervised object detection that incorporates pointwise mutual information is presented. A fully convolutional neural network architecture…
Learning Deep Representations for Word Spotting Under Weak Supervision
Neha Gurjar, Sebastian Sudholt, Gernot A. Fink
Convolutional Neural Networks have made their mark in various fields of computer vision in recent years. They have achieved state-of-the-art performance in the field of document an…