SOTAVerified

Source-Free Domain Adaptation

Source-Free Domain Adaptation (SFDA) is a domain adaptation method in machine learning and computer vision where the goal is to adapt a pre-trained model to a new, target domain without access to the source domain data. This approach is advantageous in scenarios where sharing the source data is impractical due to privacy concerns, data size, or proprietary restrictions

Papers

Showing 151188 of 188 papers

TitleStatusHype
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation0
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationCode0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation0
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain AdaptationCode0
Variational Model Perturbation for Source-Free Domain AdaptationCode0
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain AdaptationCode0
RAIN: RegulArization on Input and Network for Black-Box Domain AdaptationCode0
Feed-Forward Latent Domain Adaptation0
Source-Free Domain Adaptation for Real-world Image Dehazing0
Test-Time Adaptation for Visual Document Understanding0
Active Source Free Domain Adaptation0
A Comparison of Strategies for Source-Free Domain AdaptationCode0
Source-Free Domain Adaptation via Distribution EstimationCode0
Jacobian Norm for Unsupervised Source-Free Domain Adaptation0
Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping0
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationCode0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey0
Test-time Batch Statistics Calibration for Covariate Shift0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation0
A Comparison of Strategies for Source-Free Domain Adaptation0
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing0
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes0
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation0
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation0
MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation0
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation0
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic ProcessingCode0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data0
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation0
A Curriculum-style Self-training Approach for Source-Free Semantic SegmentationCode0
Source-Free Domain Adaptation for Semantic Segmentation0
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics0
Adaptive Adversarial Network for Source-Free Domain Adaptation0
Source Free Domain Adaptation with Image Translation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RCLAccuracy93.2Unverified
2SFDA2++Accuracy89.6Unverified
3SPMAccuracy89.4Unverified
4SFDA2Accuracy88.1Unverified
5C-SFDAAccuracy87.8Unverified
6DaCAccuracy87.3Unverified
7SHOT++Accuracy87.3Unverified
8NRCAccuracy85.9Unverified
9G-SFDAAccuracy85.4Unverified
10SHOTAccuracy82.9Unverified
#ModelMetricClaimedVerifiedStatus
1SPMAverage Accuracy86.7Unverified
2DRAAverage Accuracy84Unverified
3NELAverage Accuracy72.4Unverified
#ModelMetricClaimedVerifiedStatus
1CMAmIoU69.1Unverified
#ModelMetricClaimedVerifiedStatus
1CMAmIoU53.6Unverified