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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 41–50 of 68 papers

Title	Date	Tasks	Status	Hype	Score
DACS: Domain Adaptation via Cross-domain Mixed Sampling	Jul 17, 2020	Domain AdaptationSemantic Segmentation	CodeCode Available	1	5
Virtual to Real Reinforcement Learning for Autonomous Driving	Apr 13, 2017	Autonomous DrivingDomain Adaptation	CodeCode Available	0	5
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation	Dec 8, 2016	Image-to-Image TranslationSemantic Segmentation	CodeCode Available	0	5
CyCADA: Cycle-Consistent Adversarial Domain Adaptation	Nov 8, 2017	Domain AdaptationImage-to-Image Translation	CodeCode Available	0	5
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation	Jul 28, 2020	Domain AdaptationImage-to-Image Translation	CodeCode Available	0	5
Learning to Adapt Structured Output Space for Semantic Segmentation	Feb 28, 2018	Domain AdaptationImage-to-Image Translation	CodeCode Available	0	5
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training	Oct 18, 2018	Domain AdaptationPseudo Label	CodeCode Available	0	5
Domain Adaptation for Structured Output via Discriminative Patch Representations	Jan 16, 2019	Domain AdaptationImage-to-Image Translation	CodeCode Available	0	5
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation	Mar 26, 2019	AllDomain Adaptation	CodeCode Available	0	5
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization	Oct 11, 2021	Domain AdaptationSemantic Segmentation	CodeCode Available	0	5

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