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 801850 of 6439 papers

TitleStatusHype
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
Limitations of Post-Hoc Feature Alignment for RobustnessCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
On Transportation of Mini-batches: A Hierarchical ApproachCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
Long-tailed Distribution AdaptationCode1
M2D2: A Massively Multi-domain Language Modeling DatasetCode1
m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-AdapterCode1
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationCode1
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum LearningCode1
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive SummarizationCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
The Effect of Domain and Diacritics in Yorùbá-English Neural Machine TranslationCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain AdaptationCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text ClassificationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Confidence Regularized Self-TrainingCode1
Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram SynthesisCode1
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial NetworksCode1
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault DiagnosisCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixupCode1
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World SurveillanceCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
CLUB: A Contrastive Log-ratio Upper Bound of Mutual InformationCode1
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source DataCode1
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Multi-Anchor Active Domain Adaptation for Semantic SegmentationCode1
Multi-Domain Multilingual Question AnsweringCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
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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