Category differences matter: A broad analysis of inter-category error in semantic segmentation

J Zhou, J Beyerer - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
In current evaluation schemes of semantic segmentation, metrics are calculated in such a
way that all predicted classes should equally be identical to their ground truth, paying less …

Corner cases in data-driven automated driving: Definitions, properties and solutions

J Zhou, J Beyerer - 2023 IEEE Intelligent Vehicles Symposium …, 2023 - ieeexplore.ieee.org
The field of validation and artificial intelligence (AI) for automated driving has been a rapidly
emerging field of research and development in the last few years. Despite the enormous …

Weakly supervised training of universal visual concepts for multi-domain semantic segmentation

P Bevandić, M Oršić, J Šarić, I Grubišić… - International journal of …, 2024 - Springer
Deep supervised models have an unprecedented capacity to absorb large quantities of
training data. Hence, training on multiple datasets becomes a method of choice towards …