Publication - Trapped in texture bias? A large scale comparison of deep instance segmentation
In the context of the Ph.D. research of Johannes Theodoridis and the Bachelorthesis of Jessica Hofmann, we analysed the robustness of deep learning models for image segmentation. The results have been presented at the ECCV 2022 conference in Tel Aviv and published in the Springer conference proceedings.
Here is the abstract:
Do deep learning models for instance segmentation generalize to novel objects in a systematic way? For classification, such behavior has been questioned.
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