207 citations · 1.4k across the 102 of their papers we have counts for
4 papers · 1 filter
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
Benjamin Bischke, Patrick Helber, Joachim Folz +2
The increased availability of high resolution satellite imagery allows to sense very detailed structures on the surface of our planet. Access to such information opens up new direc…
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
Marco Schreyer, Timur Sattarov, Damian Borth +2
Learning to detect fraud in large-scale accounting data is one of the long-standing challenges in financial statement audits or fraud investigations. Nowadays, the majority of appl…
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
Patrick Helber, Benjamin Bischke, Andreas Dengel +1
In this paper, we address the challenge of land use and land cover classification using Sentinel-2 satellite images. The Sentinel-2 satellite images are openly and freely accessibl…
AirScript - Creating Documents in Air
Ayushman Dash, Amit Sahu, Rajveer Shringi +5
This paper presents a novel approach, called AirScript, for creating, recognizing and visualizing documents in air. We present a novel algorithm, called 2-DifViz, that converts the…