This position paper provides insights aiming at resolving the most pressing needs and issues of computer vision algorithms. Specifically, these problems relate to the scarcity of data, the inability of such algorithms to adapt to never-seen-before conditions, and the challenge of developing explainable and trustworthy algorithms. This work proposes the incorporation of reasoning systems, and in particular of abductive reasoning, into image segmentation algorithms as a potential solution to the aforementioned issues.

Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation

Andrea Omicini
2023

Abstract

This position paper provides insights aiming at resolving the most pressing needs and issues of computer vision algorithms. Specifically, these problems relate to the scarcity of data, the inability of such algorithms to adapt to never-seen-before conditions, and the challenge of developing explainable and trustworthy algorithms. This work proposes the incorporation of reasoning systems, and in particular of abductive reasoning, into image segmentation algorithms as a potential solution to the aforementioned issues.
2023
AIxIA 2022 Discussion Papers
75
84
Andrea Rafanelli, Stefania Costantini, Andrea Omicini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/933658
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