Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
Topics & Concepts
Computer scienceSegmentationArtificial intelligenceRepresentation (politics)Domain (mathematical analysis)Domain adaptationImage (mathematics)Invariant (physics)GeneralizationPattern recognition (psychology)Machine learningMathematicsClassifier (UML)Mathematical analysisLawPoliticsPolitical scienceMathematical physicsDomain Adaptation and Few-Shot LearningCancer-related molecular mechanisms researchMultimodal Machine Learning Applications