5/25/2023 0 Comments Attention map vs. saliency mapSaliency maps are also termed “heat maps” since the hotness/brightness of the image has an impactful effect on identifying the class of the object. It is usually a grayscale image but can be converted into another format of a coloured image depending upon our visual comfortability. It will crucially assist in reducing the computational cost. Then by computing the saliency map, we will achieve this. Suppose we want to give attention to a particular part of an image, like wanting to focus on the image of a bird rather than the other parts like the sky, nest etc. This means the brightness of the pixel is directly proportional to the saliency of an image. Sometimes, the brighter pixels of an image tell us about the salient of the pixels. The saliency map of an image represents the most prominent and focused pixel of an image. It mainly focuses on specific pixels of images while ignoring others. Suppose we want to focus on a particular part of an image than what concept will help us. The feature maps of CNN tell us the learning characteristics of the model. During the training of a deep convolutional neural network, it becomes essential to know the feature map of every layer. The saliency map is a key theme in deep learning and computer vision.
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