most citedTrapped in texture bias? A large scale comparison of deep instance segmentation

3 citations · 3 across the 2 of their papers we have counts for

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cs.CV2026

Differences in Detection: Explainability Where it Matters

Johannes Theodoridis, Johannes Maucher, Andreas Schilling

We propose Differences in Detection (DnD), an intuitive method to compare two object detection models. Based on the same matching algorithm, it complements the standard metrics of…

cs.CV2024★ 3 cited

Trapped in texture bias? A large scale comparison of deep instance segmentation

Johannes Theodoridis, Jessica Hofmann, Johannes Maucher +1

Do deep learning models for instance segmentation generalize to novel objects in a systematic way? For classification, such behavior has been questioned. In this study, we aim to u…