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 401450 of 6439 papers

TitleStatusHype
DINE: Domain Adaptation from Single and Multiple Black-box PredictorsCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERTCode1
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive LearningCode1
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsCode1
DODA: Diffusion for Object-detection Domain Adaptation in AgricultureCode1
Domain Adaptation as a Problem of Inference on Graphical ModelsCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
Domain Adaptation for Head Pose Estimation Using Relative Pose ConsistencyCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
On Transportation of Mini-batches: A Hierarchical ApproachCode1
Domain adaptation under structural causal modelsCode1
Domain Adaptation via Prompt LearningCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Domain Adaptation without Source DataCode1
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh RecoveryCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
Domain-adaptive Video Deblurring via Test-time BlurringCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesCode1
Domain Conditioned Adaptation NetworkCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain AdaptationCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal CyclesCode1
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed DomainsCode1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query GenerationCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
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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
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
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
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
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