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 📝 Learning From SAM: Harnessing a Segmentation Foundation Model for Sim2Real Domain Adaptation Through Regularization 🔭

"Proposes a novel self-supervised domain adaptation approach for semantic segmentation that is based on segment invariance-variance training, leveraging the Segment Anything Model to extract segments from the unlabelled target data." [gal30b+] 🤖 #CV

🔗 https://arxiv.org/abs/2309.15562v1 #arxiv

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