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1

Safety Concerns and Mitigation Approaches Regarding the Use..:

, In: Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops; Lecture Notes in Computer Science,

Willers, Oliver ; Sudholt, Sebastian ; Raafatnia, Shervin. - p. 336-350 , 2020

Link: https://doi.org/10.1007/..

2

Attribute CNNs for word spotting in handwritten documents:

Sudholt, Sebastian ; Fink, Gernot A.
International Journal on Document Analysis and Recognition (IJDAR). 21 (2018) 3 - p. 199-218 , 2018

Link: https://doi.org/10.1007/..

3

Safety Concerns and Mitigation Approaches Regarding the Use..:

Willers, Oliver ; Sudholt, Sebastian ; Raafatnia, Shervin.
http://arxiv.org/abs/2001.08001. , 2020

Link: http://arxiv.org/abs/200..

4

Expolring Architectures for CNN-Based Word Spotting:

Rusakov, Eugen ; Sudholt, Sebastian ; Wolf, Fabian.
http://arxiv.org/abs/1806.10866. , 2018

Link: http://arxiv.org/abs/180..

5

Weakly Supervised Object Detection with Pointwise Mutual In..:

Grzeszick, Rene ; Sudholt, Sebastian ; Fink, Gernot A
http://arxiv.org/abs/1801.08747. , 2018

Link: http://arxiv.org/abs/180..

6

Learning attribute representations with deep convolutional ..:

Sudholt, Sebastian
http://hdl.handle.net/2003/37881. , 2018

Link: http://hdl.handle.net/20..

7

Attribute CNNs for Word Spotting in Handwritten Documents:

Sudholt, Sebastian ; Fink, Gernot
http://arxiv.org/abs/1712.07487. , 2017

Link: http://arxiv.org/abs/171..

8

Learning Deep Representations for Word Spotting Under Weak ..:

Gurjar, Neha ; Sudholt, Sebastian ; Fink, Gernot A
http://arxiv.org/abs/1712.00250. , 2017

Link: http://arxiv.org/abs/171..

9

Optimistic and Pessimistic Neural Networks for Scene and Ob..:

Grzeszick, Rene ; Sudholt, Sebastian ; Fink, Gernot A
http://arxiv.org/abs/1609.07982. , 2016

Link: http://arxiv.org/abs/160..

10

PHOCNet: A Deep Convolutional Neural Network for Word Spott..:

Sudholt, Sebastian ; Fink, Gernot A
http://arxiv.org/abs/1604.00187. , 2016

Link: http://arxiv.org/abs/160..

11

Fußballspielende humanoide Roboter:

Gaisenkersting, Emanuel ; Große-Allermann, Jens ; Hüsmert, Daniel...
http://hdl.handle.net/2003/29825. , 2012

Link: http://hdl.handle.net/20..

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