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Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation [paper / code]
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SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
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CoNMix for Source-free Single and Multi-target Domain Adaptation [paper / code]
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Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning [paper / code]
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NOTELA: A Generalizable Method for Source Free Domain Adaptation [paper / code]
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Key Design Choices for Double-transfer in Source-free Unsupervised Domain Adaptation [paper / code]
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One Ring to Bring Them All: Model Adaptation under Domain and Category Shift [paper / code]
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Domain-Unified Prompt Representations for Source-Free Domain Generalization [paper / code]
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When Source-Free Domain Adaptation Meets Learning with Noisy Labels [paper / code]
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Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning [paper / code]
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Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation [paper / code]
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Variational Model Perturbation for Source-Free Domain Adaptation [paper / code]
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BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation [paper / code]
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Uncertainty-guided Source-free Domain Adaptation [paper / code]
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Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition [paper / code]
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Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-Spoofing [paper / code]
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Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation [paper / code]
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Cross-Modal Knowledge Transfer Without Task-Relevant Source Data [paper / code]
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Balancing Discriminability and Transferability for Source-Free Domain Adaptation [paper / code]
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Confidence Score for Source-Free Unsupervised Domain Adaptation [paper / code]
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Source-Free Domain Adaptation via Distribution Estimation [paper / code]
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Exploring Domain-Invariant Parameters for Source Free Domain Adaptation [paper / code]
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Source-Free Object Detection by Learning To Overlook Domain Style [paper / code]
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Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation [paper / code]
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Unsupervised Robust Domain Adaptation without Source Data [paper / code]
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Confident-Anchor-Induced Multi-Source-Free Domain Adaptation [paper / code]
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Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data [paper / code]
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Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation [paper / code]
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Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation [paper / code]
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Adaptive Adversarial Network for Source-Free Domain Adaptation [paper / code]
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Source-Free Domain Adaptation for Semantic Segmentation [paper / code]
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Unsupervised Multi-Source Domain Adaptation Without Access to Source Data [paper / code]
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A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data [paper / code]
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Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation [paper / code]