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cs.CV2026
Mitigating Shortcut Learning: Texture-Penalized Prototype Networks
Akshay Anilkumar Girija, Elena Hoemann, Frank Köster +1
Standard Convolutional Neural Networks (CNNs) exhibit severe performance degradation due to a strong inductive texture bias that prioritizes local, high-frequency patterns over glo…
cs.CV2026
Image Quality Dependent Degradation for AI Systems
Yannick Kees, Elena Hoemann, Frank Köster +1
Perception is one of the primary applications where neural networks outperform conventional algorithms. One example is AI systems for automated driving, which can detect pedestrian…