66 citations · 202 across the 7 of their papers we have counts for
8 papers
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Sebastian Bodenstedt, Max Allan, Anthony Agustinos +17
Intraoperative segmentation and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional hardware like tracking sys…
The WiLI benchmark dataset for written language identification
Martin Thoma
This paper describes the WiLI-2018 benchmark dataset for monolingual written natural language identification. WiLI-2018 is a publicly available, free of charge dataset of short tex…
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
Convolutional Neural Networks (CNNs) dominate various computer vision tasks since Alex Krizhevsky showed that they can be trained effectively and reduced the top-5 error from 26.2…
The HASYv2 dataset
Martin Thoma
This paper describes the HASYv2 dataset. HASY is a publicly available, free of charge dataset of single symbols similar to MNIST. It contains 168233 instances of 369 classes. HASY…
A Survey of Semantic Segmentation
Martin Thoma
This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and tradition…
Creativity in Machine Learning
Martin Thoma
Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into t…
On-line Recognition of Handwritten Mathematical Symbols
Martin Thoma
Finding the name of an unknown symbol is often hard, but writing the symbol is easy. This bachelor's thesis presents multiple systems that use the pen trajectory to classify handwr…
Pixel-wise Segmentation of Street with Neural Networks
Sebastian Bittel, Vitali Kaiser, Marvin Teichmann +1
Pixel-wise street segmentation of photographs taken from a drivers perspective is important for self-driving cars and can also support other object recognition tasks. A framework c…