1 citations · 1 across the 2 of their papers we have counts for
4 papers
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
Oliver Willers, Sebastian Sudholt, Shervin Raafatnia +1
Deep learning methods are widely regarded as indispensable when it comes to designing perception pipelines for autonomous agents such as robots, drones or automated vehicles. The m…
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…
Attribute CNNs for Word Spotting in Handwritten Documents
Sebastian Sudholt, Gernot Fink
Word spotting has become a field of strong research interest in document image analysis over the last years. Recently, AttributeSVMs were proposed which predict a binary attribute…