Table 1.

Names and output sizes of layers, from which feature maps were obtained. HR-CAM uses feature maps from several layers, whereas Grad-CAM only requires the last convolutional layer’s output. The layer names correspond to the original layer names of EfficientNet-B0 [20]

Method	Classification CNN layers	Segmentation CNN layers	Output size [px]
HR-CAM	block_3a_expand_activation	block_3a_expand_activation	56$\times$56
	block_4a_expand_activation	block_4a_expand_activation	28$\times$28
	block_6a_expand_activation	block_6a_expand_activation	14$\times$14
	block_7a_expand_activation	block_6d_expand_activation	7$\times$7
Grad-CAM	top_activation	block_7a_expand_activation	7$\times$7