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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 1–50 of 68 papers

TitleStatusHype
MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationCode2
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic SegmentationCode2
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic SegmentationCode1
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic SegmentationCode1
Instance Adaptive Self-Training for Unsupervised Domain AdaptationCode1
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic SegmentationCode1
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation AdaptationCode1
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic SegmentationCode1
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic SegmentationCode1
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingCode1
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferCode1
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationCode1
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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