Ablation-CAM

该数据集采用了一种方法，该方法根据在特定特征图被移除时，类别得分之间的差异来定义特征图的权重。此外，该数据集还与其他方法如Grad-CAM、Grad-CAM++和XGrad-CAM进行了比较评估，其任务是可视化与解释卷积神经网络。

This dataset employs a method that assigns weights to feature maps based on the discrepancy between class scores when a given feature map is ablated. Furthermore, this dataset has been comparatively evaluated against other approaches including Grad-CAM, Grad-CAM++, and XGrad-CAM for the task of visualizing and interpreting convolutional neural networks.