SOTAVerified

Synthetic-to-Real Translation

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

( Image credit: CYCADA )

Papers

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Showing 21–30 of 68 papers

TitleStatusHype
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Confidence Regularized Self-TrainingCode1
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic SegmentationCode1
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingCode1
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