Yield prognosis for the agrarian management of vineyards using deep learning for object counting K Heinrich, A Roth, L Breithaupt, B Möller, J Maresch | 16 | 2019 |
Is bigger always better? Lessons learnt from the evolution of deep learning architectures for image classification K Heinrich, B Möller, C Janiesch, P Zschech | 12 | 2019 |
Objekterkennung im Weinanbau–Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning K Heinrich, P Zschech, B Möller, L Breithaupt, J Maresch HMD Praxis der Wirtschaftsinformatik: Vol. 56, No. 5, 2019 | 10 | 2019 |
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy B Möller, J Pirklbauer, M Klingner, P Kasten, M Etzkorn, TJ Seifert, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale B Möller, Z Li, M Etzkorn, T Fingscheidt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Deep Learning in der Landwirtschaft–Analyse eines Weinbergs P Zschech, K Heinrich, B Möller, L Breithaupt, J Maresch, A Roth Big Data Analytics: Grundlagen, Fallbeispiele und Nutzungspotenziale, 169-194, 2021 | | 2021 |
Object Detection in Viticulture–A Case Study on the Support of Vineyard Operations with Deep Learning K Heinrich, P Zschech, B Möller, L Breithaupt, J Maresch HMD Praxis der Wirtschaftsinformatik 56, 964-985, 2019 | | 2019 |