Abstract: A key issue of existing deep-learning-based object detection methods in remote sensing images is that they often struggle to differentiate the background and small object regions due to ...

Abstract: This study investigates the problem of explainability for visual object detectors, focusing on the YOLOv9 object detection model. The model is fine-tuned on the VOC2012 dataset using a ...