Error Understanding On Cub 200 2011 1

Average highest confidence (EfficientNetV2-M)

Average highest confidence (MobileNetV2)

Average highest confidence (ResNet-101)

Insertion AUC score (EfficientNetV2-M)

Insertion AUC score (MobileNetV2)

Insertion AUC score (ResNet-101)

评测结果

各个模型在此基准测试上的表现结果

							Paper Title
SMDL-Attribution (ICLR version)	0.3306	0.5367	0.4513	0.1748	0.1922	0.1772	Less is More: Fewer Interpretable Region via Submodular Subset Selection
HSIC-Attribution	0.2679	0.2914	0.2493	0.1611	0.1635	0.1446	Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Grad-CAM++	0.2659	0.3462	0.2647	0.1605	0.1284	0.1094	Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Score-CAM	0.2403	0.3141	0.2510	0.1572	0.1195	0.1073	Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

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