AIGuys
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AIGuys

Attention U-Net, ResUnet, & many more

It's been a while since the inception of U-Net, the network was initially designed to do medical image segmentation but since then it’s been used for all sorts of segmentation tasks. In my limited experience, I’ve always found that segmentation works better than object detection (given that you have the labeled data). The probable reason for segmentation being better than detection is that it is learning to identify each pixel as part of the object or not whereas detection tries to learn the four sets of coordinates surrounding the object (a much tougher and error-prone task to optimize)…

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