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source-free domain adaptation

109 papers

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Also known as

SFDA SF-DA

Co-occurring keywords

domain adaptation (4578) unsupervised domain adaptation (441) pseudo labeling (312) transfer learning (5442) contrastive learning (3979) semantic segmentation (3179) source-free adaptation (29) negation detection (26) knowledge distillation (3680) sequence labeling (824)

Papers

Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation CVPR 2023
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation NIPS 2023
SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection WACV 2023
Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation WACV 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis ICCV 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples ICCV 2023
Source-free Domain Adaptive Human Pose Estimation ICCV 2023
Prior-guided Source-free Domain Adaptation for Human Pose Estimation ICCV 2023
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation ICCV 2023
SSDA: Secure Source-Free Domain Adaptation ICCV 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation ICCV 2023
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection CVPR 2023
Upcycling Models Under Domain and Category Shift CVPR 2023
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation CVPR 2023
Adversarial Alignment for Source Free Object Detection AAAI 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023
The Unreasonable Effectiveness of Large Language-Vision Models for Source-Free Video Domain Adaptation ICCV 2023
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training ICCV 2023
Better Practices for Domain Adaptation AUTOML 2023
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation NIPS 2022
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation AAAI 2022
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation WACV 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
A Comparison of Strategies for Source-Free Domain Adaptation ACL 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation ICML 2022