Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections

Autor: Kirchknopf, Armin, Slijepcevic, Djordje, Wunderlich, Ilkay, Breiter, Michael, Traxler, Johannes, Zeppelzauer, Matthias
Rok vydání: 2022
Předmět:
Zdroj: Proceedings of the Workshop of the Austrian Association for Pattern Recognition 2021
Druh dokumentu: Working Paper
DOI: 10.3217/978-3-85125-869-1-13
Popis: We investigate the problem of explainability for visual object detectors. Specifically, we demonstrate on the example of the YOLO object detector how to integrate Grad-CAM into the model architecture and analyze the results. We show how to compute attribution-based explanations for individual detections and find that the normalization of the results has a great impact on their interpretation.
Databáze: arXiv