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ORCIDTobias Schlagenhauf
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2020 – today
- 2023
[j2]Tobias Schlagenhauf
, Yiwen Lin, Benjamin Noack:
Discriminative feature learning through feature distance loss. Mach. Vis. Appl. 34(2): 25 (2023)- 2022
- [j1]Tobias Schlagenhauf, Jan Wolf, Alexander Puchta:
Convolutional-Based Encoder-Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5. Data 7(12): 175 (2022) - [c1]Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner:
Siamese Basis Function Networks for Data-Efficient Defect Classification in Technical Domains. SEFM Workshops 2022: 71-92 - [i9]Tobias Schlagenhauf, Markus Netzer, Jan Hillinger:
Text Detection on Technical Drawings for the Digitization of Brown-field Processes. CoRR abs/2205.02659 (2022) - [i8]Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack:
Discriminative Feature Learning through Feature Distance Loss. CoRR abs/2205.11606 (2022) - [i7]Tobias Schlagenhauf, Tim Scheurenbrand:
Cross-domain Transfer of defect features in technical domains based on partial target data. CoRR abs/2211.13662 (2022) - 2021
- [i6]Tobias Schlagenhauf, Magnus Landwehr, Jürgen Fleischer:
Industrial Machine Tool Component Surface Defect Dataset. CoRR abs/2103.13003 (2021) - [i5]Tobias Schlagenhauf, Niklas Burghardt, Jürgen Fleischer:
Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements. CoRR abs/2106.06839 (2021) - 2020
- [i4]Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer:
Context-based Image Segment Labeling (CBISL). CoRR abs/2011.00784 (2020) - [i3]Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer:
GAN based ball screw drive picture database enlargement for failure classification. CoRR abs/2011.10235 (2020) - [i2]Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer:
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. CoRR abs/2012.00308 (2020) - [i1]Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer:
Siamese Basis Function Networks for Defect Classification. CoRR abs/2012.01338 (2020)
Coauthor Index
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