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
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
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain AdaptationCode1
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
Source-Free Domain Adaptation for Image SegmentationCode1
Generalized Source-free Domain AdaptationCode1
YNU-HPCC at SemEval-2021 Task 10: Using a Transformer-based Source-Free Domain Adaptation Model for Semantic Processing0
MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation0
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation0
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes0
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic ProcessingCode0
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation0
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation0
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data0
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature RestorationCode1
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 via Avatar Prototype Generation and AdaptationCode1
Transformer-Based Source-Free Domain AdaptationCode1
Sign Segmentation with Changepoint-Modulated Pseudo-LabellingCode1
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 Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling TransferCode1
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Casting a BAIT for Offline and Online Source-free Domain AdaptationCode1
Source Free Domain Adaptation with Image Translation0
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Universal Source-Free Domain AdaptationCode1
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationCode1
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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