Concrete dams play a key role in flood protection and freshwater supply; however, their condition must be monitored reliably and precisely to prevent consequential damage. As concrete dams represent a highly unique field with unique damage patterns, various specialized deep learning-based inspection approaches have bee...
It is demonstrated that a once-optimized patch, including patches trained solely on RGB data, retains sufficient attack efficacy to undermine trust in automation systems across the majority of evaluated architectures, even after physically inspired transformations across different multimodal fusion levels.
Max Wiedemann, Luca Eisentraut, Ricardo Buettner· IEEE Access· 0 citations
This study proposes a novel deep learning approach that takes into account both the specific visual characteristics of plant diseases and potential disturbances in the microstructure, such as surface irregularities or prominent leaf veins, which may mislead the model.
J. Hoffmann, Christopher Mai, Ricardo Buettner· PLoS ONE· 0 citations
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