Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation
by Andrea Rafanelli, Stefania Costantini and Andrea Omicini
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.
@inproceedings{abdsemimgsegm-aixia2022,
address = {Aachen, Germany},
author = {Rafanelli, Andrea and Stefania Costantini and Omicini, Andrea},
booktitle = {AIxIA 2022 Discussion Papers},
chapter = 9,
dblp = {conf/aiia/RafanelliCO22},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
iris = {11585/933658},
issn = {1613-0073},
keywords = {neuro-symbolic, abductive reasoning, semantic segmentation, XAI},
location = {Udine, Italy},
month = jun,
note = {Proceedings of the Discussion Papers -- 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) -- Udine, Italy, November 28--December 2, 2022},
numpages = 10,
pages = {75--84},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
scholar = {4710138681206481431},
scopus = {2-s2.0-85164192487},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation},
url = {https://ceur-ws.org/Vol-3419/paper9.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3419/paper9.pdf},
urlpdf = {https://ceur-ws.org/Vol-3419/paper9.pdf},
volume = 3419,
year = 2023
}