The encoder features are first bilinearly upsampled by a factor 4, and then concatenated with the corresponding low-level features from the network backbone that have the same spatial resolution. For this example, we use a ResNet50 pretrained on ImageNet as the backbone model, and we use the low-level features from the conv4_block6_2_relu block of the backbone.