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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 61–68 of 68 papers

Title	Date	Tasks	Status	Hype
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training	Oct 18, 2018	Domain AdaptationPseudo Label	CodeCode Available	0
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation	Sep 25, 2018	Domain AdaptationSemantic Segmentation	CodeCode Available	0
Learning to Adapt Structured Output Space for Semantic Segmentation	Feb 28, 2018	Domain AdaptationImage-to-Image Translation	CodeCode Available	0
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes	Nov 30, 2017	Domain AdaptationSegmentation	—Unverified	0
CyCADA: Cycle-Consistent Adversarial Domain Adaptation	Nov 8, 2017	Domain AdaptationImage-to-Image Translation	CodeCode Available	0
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes	Jul 29, 2017	Autonomous DrivingDomain Adaptation	CodeCode Available	0
Virtual to Real Reinforcement Learning for Autonomous Driving	Apr 13, 2017	Autonomous DrivingDomain Adaptation	CodeCode Available	0
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation	Dec 8, 2016	Image-to-Image TranslationSemantic Segmentation	CodeCode Available	0

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