A survey organizing explainable AI methods for object detection into perturbation, gradient, backpropagation, and graph based families, with an overview of datasets, metrics, and publication trends.
Deep inside convolutional net- works: Visualising image classification models and saliency maps,
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Explaining What Machines See: XAI Strategies in Deep Object Detection Models
A survey organizing explainable AI methods for object detection into perturbation, gradient, backpropagation, and graph based families, with an overview of datasets, metrics, and publication trends.