Deep Learning, Artificial Intelligence, Convolutional Network, Quality Assessment, Iqa.
practice, P = Q = 3 so the window size is much smaller than the input image patch. 3.2. Convolution & Pooling Layers In the convolution layer, the locally normalized image patches are convolved with 50 filters. There are no activation after the convolution. Each feature map is pooled into one max