SOTAVerified

Synthetic-to-Real Translation

Synthetic-to-real translation is the task of domain adaptation from synthetic (or virtual) data to real data.

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Papers

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Showing 31–40 of 68 papers

TitleStatusHype
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo MatchingCode1
Transferring to Real-World Layouts: A Depth-aware Framework for Scene AdaptationCode1
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-SupervisionCode1
Unsupervised Scene Adaptation with Memory Regularization in vivoCode1
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic SegmentationCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Confidence Regularized Self-TrainingCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
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