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Hi there! Today we are discussing the Swin Transformer. Swin stands here for Shifted WINdows and is basically a vision transformer variant but with a hierarchical way of processing the image. So, if you are curious about this vision transformer beast, reportedly beating many benchmarks, grab a cup of coffee because it is time for an AI Coffee Break! Speaking of motivation for the Swin Transformer: Reading this part of the abstract triggered me a little bit: It is about the Challenges in adapting Transformer from language to visionamp;quot;. And the authors say, they amp;quot;arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. This is such a computer vision researcher thing to say! Everything is big data if you are brave enough. Words in text can become too many too if one wants to handle a complete Dostoyevsky novel as one single data
