In the abstract of "U-Net: Convolutional Networks for Biomedical Image Segmentation", the authors mention a sliding-window convolutional neural network. I've found several other articles mentioning this but no clean definition of it. How is it different from regular convolutional networks/what does the term mean?
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Sliding window in this context is regarding what is given as input to the CNN. It is a sliding window of the input image. I have seen it being used in medical domain where the images are too large to fit into a network and reshaping them into smaller sizes doesn't help. So, a sliding window is done on the bigger image and the sliding window is fed into CNN for achieving whatever task you are trying to achieve.
