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 21–30 of 68 papers

TitleStatusHype
Pixel-level Intra-domain Adaptation for Semantic Segmentation—0
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency RegularizationCode0
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer—0
Cross-Region Domain Adaptation for Class-level Alignment—0
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingCode1
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