Model-agnostic explainable artificial intelligence for object detection in image data

arXiv:2303.17249v3 Announce Type: replace
Abstract: In recent years, deep neural networks have been widely used for building high-performance Artificial Intelligence (AI) systems for computer vision applications. Object detection is a fundamental task in computer vision, which has been greatly progressed through developing large and intricate deep learning models. However, the lack of transparency is a big challenge that may not allow the widespread adoption of these models. Explainable artificial intelligence is a field of research where methods are developed to …

abstract applications artificial artificial intelligence arxiv building computer computer vision cs.ai cs.cv data deep learning detection explainable artificial intelligence fundamental however image image data intelligence model-agnostic networks neural networks object performance systems through type vision