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STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Insight Miner 2022. 7. 29. 16:52반응형
MIT CSAIL에서 발표한 Unsupervised Semantic Segmentation 연구
https://github.com/mhamilton723/STEGO
GitHub - mhamilton723/STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised Semantic Segmentation by Distilling Feature Correspondences - GitHub - mhamilton723/STEGO: Unsupervised Semantic Segmentation by Distilling Feature Correspondences
github.com
https://arxiv.org/abs/2203.08414
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised semantic segmentation aims to discover and localize semantically meaningful categories within image corpora without any form of annotation. To solve this task, algorithms must produce features for every pixel that are both semantically meaning
arxiv.org
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