SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 101150 of 6439 papers

TitleStatusHype
Adversarial Reweighting for Partial Domain AdaptationCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Adversarial Weighting for Domain Adaptation in RegressionCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
Agnostic Federated LearningCode1
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through GraphsCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint RecognitionCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
Bi-Classifier Determinacy Maximization for Unsupervised Domain AdaptationCode1
Adversarial-Learned Loss for Domain AdaptationCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
Unsupervised Domain Adaption Harnessing Vision-Language Pre-trainingCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Adversarial Discriminative Domain AdaptationCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified