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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 68 papers

TitleStatusHype
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain 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
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
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
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
Show:102550
← PrevPage 3 of 7Next →

No leaderboard results yet.