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Network model (U - net, U - net++, U - net++ +)
2022-08-11 09:22:00 【Ferry fifty-six】
Reference
Scenario
- Medicine
- Small target segmentation
U-net model
- Encode-Decode: (encode the image into a feature first, then decode the feature into an image)
- Feature fusion, the splicing method is better than direct addition (because the spliced features will be weighted and fused in the next step)
Figure 1: U-net:
Next is to improve the model
U-net++ model
Improving ideas (feature fusion and fpn-like multi-branch prediction and multi-loss)
In Figure 1 X 0 , 0 X^{0, 0}
Using the intermediate result prediction is equivalent to doing each step well, and the final result is also very good.
Also the model is easy to prune
U-net+++
The main innovation is in the X 4 X^4 X4span> combines both shallow location information and deep semantic information.
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