![]() ![]() ![]() Given a small patch of an image, pixels in the rest provide clues what should be displayed there. now how about the snowy background and the outfit?), and then adjust the focal point or do the inference accordingly. look at the pointy ear in the yellow box) while perceiving the surrounding image in “low resolution” (i.e. The credit of the original photo goes to Instagram visual attention allows us to focus on a certain region with “high resolution” (i.e. In this post, we are gonna look into how attention was invented, and various attention mechanisms and models, such as transformer and SNAIL.Īttention is, to some extent, motivated by how we pay visual attention to different regions of an image or correlate words in one sentence. Attention has been a fairly popular concept and a useful tool in the deep learning community in recent years. ![]()
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