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 451500 of 6439 papers

TitleStatusHype
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through GraphsCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Enhancing Domain Adaptation through Prompt Gradient AlignmentCode1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
A Survey of World Models for Autonomous DrivingCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object DetectorCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Exploring Categorical Regularization for Domain Adaptive Object DetectionCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Exploring Sequence Feature Alignment for Domain Adaptive Detection TransformersCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptationCode1
Fact or Fiction: Verifying Scientific ClaimsCode1
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
A Survey on Deep Multi-modal Learning for Body Language Recognition and GenerationCode1
Federated Adversarial Debiasing for Fair and Transferable RepresentationsCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Few-shot Adaptation Works with UnpredicTable DataCode1
Few-Shot Document-Level Relation ExtractionCode1
Few-Shot Domain Adaptation for Low Light RAW Image EnhancementCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
Finding Sparse Structures for Domain Specific Neural Machine TranslationCode1
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News DetectionCode1
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilitiesCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
Functional optimal transport: map estimation and domain adaptation for functional dataCode1
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait RecognitionCode1
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain AdaptationCode1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
On Transportation of Mini-batches: A Hierarchical ApproachCode1
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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