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foreign context Shadow detection using Shadow removal so Shadow removal and Shadow detection are two tasks in computer vision by the bar in Shadow detection we predict a shadow binary mask from the input image and in Shadow removal the task is to remove the Shadow from the original image so as to get a restored image so both of these tasks um are correlated because both of them require information about the shadow region be it either Shadow removal or Shadow detection and um in literature there are multiple papers that deal with either Shadow removal separately or Shadow detection separately so um we observed that when we train a deep neural network for shadow removal it also learns some features about shadow um about the shadow region so we plan we use these information to perform Shadow removal so in this figure we can see that some of these are some of the feature Maps collected while training a unit for shadow removal and we can see that like these feature maps are actually detect
