Comments (2)
I'm sorry to reply so late 🧼 .
Accurate segmentation for the object, especially the areas near the edges of images with complex backgrounds , is indeed very difficult for the segmentation model based on deep learning (salient object detection, semantic segmentation, instance segmentation, etc.). This is actually one of the reasons why many methods introduce edge information as assistance.
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At present, there is no perfect solution to achieve the perfect separation of the object and background in the image. Although some post-processing methods such as CRF and SegFix can be used, they can only improve the average performance, and some difficult data will still have problems. This is really very difficult. Now we can only constantly optimize and improve our method to gradually approach this goal.
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Related Issues (20)
- How does WSGN improve the generalization performance of the model HOT 2
- TODO List
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- min e t HOT 1
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