ILT is an end-to-end correction process where the layout image is input, and the mask image is output. This iterative process, similar to an autoencoder, uses gradient descent to optimize the mask.

model = UNet(n_channels, n_classes, width_multiplier=1, trilinear=True, use_ds_conv=False) Where: n_channels is the depth of the input data (1 for grayscale input videos, 3 for RGB) n_classes is the ...

With the recent widespread use of smartphones and digital video cameras, the opportunities to handle digital video have increased significantly. However, despite improvements in the performance of the ...

For millimeter wave massive multiple-input multiple-output systems, the transceiver usually adopts a hybrid precoding structure to reduce complexity and cost, which poses great challenges to the ...