Publikation
A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives
Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller
In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.
Zusammenfassung
Context-aware systems require context information, which essentially should rely on high-quality data. Object detection is one particular area enabling context information from the environment to be processed. Ensuring the presence of high-quality data is crucial for machine learning methods to detect objects with high precision. This paper presents a framework for explanation-aware visualization and adjudication in object detection, integrating the user into a semi-automatic verification and adjudication process, where targeted information can be transported by visualization and explanation methods. We discuss a tool for supporting such approaches and present first results and perspectives.