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Papers
$\oslash$ Source Models Leak What They Shouldn't $\nrightarrow$: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization
CVPR 2026
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
WACV 2026
Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
CVPR 2026
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
WACV 2026
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
WACV 2026
Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation
AAAI 2026
Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation
CVPR 2026
ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation
AAAI 2026
Model-free Domain Adaptation for Concealed Multimodal Large-Language Models
WACV 2026
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
AAAI 2026
Vision-Language Model Guided Source-Free Domain Adaptation via Optimal Transport
CVPR 2026
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
AAAI 2025
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation
AAAI 2025
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
CVPR 2025
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search
AAAI 2025
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
AAAI 2025
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
ICLR 2025
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
IJCAI 2025
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
WACV 2025
Label Calibration in Source Free Domain Adaptation
WACV 2025
Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation
AISTATS 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
CVPR 2025
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
AAAI 2025
Proxy Denoising for Source-Free Domain Adaptation
ICLR 2025
Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
ICLR 2025