Tobias Schlagenhauf

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Discriminative Features

Defect Classification

Radial Basis Function

Top Venues

Mach. Vis. Appl.

Publications

Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack
Discriminative feature learning through feature distance loss. Mach. Vis. Appl. 34 (2) (2023)
Tobias Schlagenhauf, Markus Netzer, Jan Hillinger
Text Detection on Technical Drawings for the Digitization of Brown-field Processes. CoRR (2022)
Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner
Siamese Basis Function Networks for Data-Efficient Defect Classification in Technical Domains. SEFM Workshops (2022)
Tobias Schlagenhauf, Tim Scheurenbrand
Cross-domain Transfer of defect features in technical domains based on partial target data. CoRR (2022)
Tobias Schlagenhauf, Jan Wolf, Alexander Puchta
Convolutional-Based Encoder-Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5. Data 7 (12) (2022)
Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack
Discriminative Feature Learning through Feature Distance Loss. CoRR (2022)
Tobias Schlagenhauf, Magnus Landwehr, Jürgen Fleischer
Industrial Machine Tool Component Surface Defect Dataset. CoRR (2021)
Tobias Schlagenhauf, Niklas Burghardt, Jürgen Fleischer
Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements. CoRR (2021)
Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer
Context-based Image Segment Labeling (CBISL). CoRR (2020)
Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. CoRR (2020)
Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer
GAN based ball screw drive picture database enlargement for failure classification. CoRR (2020)
Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer
Siamese Basis Function Networks for Defect Classification. CoRR (2020)