Fast Explanation Using Shapley Value for Object Detection
In explainable artificial intelligence (XAI) for object Gastrointestinal Health detection, saliency maps are employed to highlight important regions for a learned model’s prediction.However, a trade-off exists wherein the higher the accuracy of explanation results, the higher the computational cost, posing a challenge for practical applicati