3 papers
eess.IV2021
High-throughput Phenotyping of Nematode Cysts
Long Chen, Matthias Daub, Hans-Georg Luigs +3
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale. Here, we introduce a high-throughput system based on computer vision…
cs.CV2020
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
Long Chen, Martin Strauch, Matthias Daub +6
Plant parasitic nematodes cause damage to crop plants on a global scale. Robust detection on image data is a prerequisite for monitoring such nematodes, as well as for many biologi…
cs.LG2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Patrick Schramowski, Wolfgang Stammer, Stefano Teso +5
Deep neural networks have shown excellent performances in many real-world applications. Unfortunately, they may show "Clever Hans"-like behavior -- making use of confounding factor…