Hi mates!
For years, "computer vision" meant convolutional neural networks (CNN). If you wanted to detect a cat, you would use a CNN. If you wanted to recognize a face, you used a CNN. But in 2020, the game changed. A paper entitled "An Image is Worth 16x16 Words" introduced the Vision Transformer. Instead of looking at pixels through small sliding windows — convolution — the ViT treats an image like a sequence of text patches. It sees the "whole picture" all at once, and often with better accuracy.
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