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 301350 of 6439 papers

TitleStatusHype
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
Adversarial Reweighting for Partial Domain AdaptationCode1
Adversarial Reweighting with α-Power Maximization for Domain AdaptationCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
A Survey of World Models for Autonomous DrivingCode1
Copy Is All You NeedCode1
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation ModelsCode1
A Survey on Deep Multi-modal Learning for Body Language Recognition and GenerationCode1
CoSDA: Continual Source-Free Domain AdaptationCode1
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures TranslationCode1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
Adversarial Weighting for Domain Adaptation in RegressionCode1
AugCSE: Contrastive Sentence Embedding with Diverse AugmentationsCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
Audio-Adaptive Activity Recognition Across Video DomainsCode1
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationCode1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
MTTrans: Cross-Domain Object Detection with Mean-Teacher TransformerCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
Domain Adaptation for Time Series Forecasting via Attention SharingCode1
Automated Synthetic-to-Real GeneralizationCode1
Cross-Lingual Adaptation using Structural Correspondence LearningCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image AnalysisCode1
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangeCode1
CrossNER: Evaluating Cross-Domain Named Entity RecognitionCode1
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin PrincipleCode1
Action Segmentation with Joint Self-Supervised Temporal Domain AdaptationCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Conditional Adversarial Domain AdaptationCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionCode1
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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