Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
method. It involves using a convolutional operation with learnable parameters to increase the spatial dimensions of the input. The weights in the transposed convolutional layer are trained during the optimization process, allowing the network to learn upsampling patterns specific to the task.