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Found 2 papers, 2 papers with code
FuSS: Fusing Superpixels for Improved Segmentation Consistency
In this work, we propose two different approaches to improve the semantic consistency of Open Set Semantic Segmentation.
Conditional Reconstruction for Open-set Semantic Segmentation
Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks. We propose a novel method called CoReSeg thattackles the issue using class conditional reconstruction ofthe input images according to their pixelwise mask.
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