Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling

Spruck A, Heimann V, Kaup A (2022)

Publication Type: Conference contribution

Publication year: 2022

Series: accepted for the IEEE International Symposium on Circuits and Systems (ISCAS)

URI: https://arxiv.org/abs/2209.14431

DOI: 10.1109/iscas48785.2022.9937735

Authors with CRIS profile

Andreas Spruck Lehrstuhl für Multimediakommunikation und Signalverarbeitung Viktoria Heimann Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

Additional Organisation(s)

Lehrstuhl für Multimediakommunikation und Signalverarbeitung

Related research project(s)

Digital Forensics: Recognition of License Plates via Superresolution and Artificial Intelligence (SUREK) June 1, 2020 - May 31, 2022

How to cite

APA:

Spruck, A., Heimann, V., & Kaup, A. (2022). Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS).

MLA:

Spruck, Andreas, Viktoria Heimann, and André Kaup. "Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling." Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS) 2022.

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