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 26–50 of 68 papers

TitleStatusHype
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic SegmentationCode1
Self-supervised Augmentation Consistency for Adapting Semantic SegmentationCode1
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic SegmentationCode1
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic SegmentationCode1
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive LearningCode1
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
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer—0
Cross-Region Domain Adaptation for Class-level Alignment—0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization—0
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes—0
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation—0
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation—0
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement—0
Pixel-level Intra-domain Adaptation for Semantic Segmentation—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
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