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Semi-supervised Domain Adaptation

Papers

Showing 125 of 133 papers

TitleStatusHype
Divide and Adapt: Active Domain Adaptation via Customized LearningCode1
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
Semi-supervised Domain Adaptation via Prototype-based Multi-level LearningCode1
Semi-Supervised Domain Adaptation with Source Label AdaptationCode1
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation SegmentationCode1
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Multi-level Consistency Learning for Semi-supervised Domain AdaptationCode1
Probabilistic Contrastive Learning for Domain AdaptationCode1
Transferable Time-Series Forecasting under Causal Conditional ShiftCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Few-Shot Domain Adaptation For End-to-End CommunicationCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis TransferCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory BankCode1
Cross-Domain Adaptive Clustering for Semi-Supervised Domain AdaptationCode1
ECACL: A Holistic Framework for Semi-Supervised Domain AdaptationCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
Deep Co-Training with Task Decomposition for Semi-Supervised Domain AdaptationCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Semi-supervised Domain Adaptation via Minimax EntropyCode1
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