论文标题
解释Yolo：利用Grad-CAM解释对象检测
Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections
论文作者
论文摘要
我们研究了视觉对象探测器的解释性问题。具体而言，我们在Yolo对象检测器的示例上演示了如何将Grad-CAM集成到模型架构中并分析结果。我们展示了如何计算基于归因的个人检测解释，并发现结果的归一化对其解释有很大的影响。
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.
