TY  - RPRT
U1  - Forschungsbericht
A1  - Arriaga Camargo, Luis Octavio
T1  - Scene understanding through Deep Learning
N2  - Recent work in image captioning and scene-segmentation has shown significant results in the context of scene-understanding. However, most of these developments have not been extrapolated to research areas such as robotics. In this work we review the current state-ofthe- art models, datasets and metrics in image captioning and scenesegmentation. We introduce an anomaly detection dataset for the purpose of robotic applications, and we present a deep learning architecture that describes and classifies anomalous situations. We report a METEOR score of 16.2 and a classification accuracy of 97 %.
T3  - Technical Report / Hochschule Bonn-Rhein-Sieg University of Applied Sciences. Department of Computer Science - 02-2017 
KW  - Scene understanding through Deep Learning
KW  - image captioning
KW  - scene-segmentation
KW  - METEOR score
KW  - robotics
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-30422
SN  - 1869-5272
SS  - 1869-5272
SN  - 978-3-96043-045-2
SB  - 978-3-96043-045-2
U6  - https://doi.org/10.18418/978-3-96043-045-2
DO  - https://doi.org/10.18418/978-3-96043-045-2
SP  - 77
S1  - 77
ER  -