( en | de | ru )

 

Disambiguation of "Schlosser, Tobias"

Author of the publication

copydeleteadd this publication to your clipboard
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.

, , , and . ETFA, page 1511-1514. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sabrina Schlosser

Epigenetische Mechanismen der Inaktivierung wachstumsregulierender Gene bei ZNS-Tumoren im Kindesalter. Uni Münster, (2009)

Bernd Schlosser

Wilhelm Schlösser

Felix Schlosser

Hermann Schlösser

 

Other publications of authors with the same name

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System., , , , , , , and . CoRR, (2022)University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019., , , , , , , , , and 1 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2019)Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation., , and . ICIP, page 848-852. IEEE, (2020)A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks., , , and . ETFA, page 1511-1514. IEEE, (2019)Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study., , , , , and . CoRR, (2024)Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study., , , , , and . CoRR, (2023)Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning., , , and . IECON, page 5323-5330. IEEE, (2020)Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks., , , and . J. Intell. Manuf., 33 (4): 1099-1123 (2022)Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning., , , and . CoRR, (2021)Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation., , and . CoRR, (2021)