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
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
Balancing Biases and Preserving Privacy on Balanced Faces in the WildCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
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
Beyond Model Adaptation at Test Time: A SurveyCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
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
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault DiagnosisCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
Category Contrast for Unsupervised Domain Adaptation in Visual TasksCode1
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label EnhancementCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationCode1
Automated Synthetic-to-Real GeneralizationCode1
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangeCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
A Survey on Deep Multi-modal Learning for Body Language Recognition and GenerationCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
Unsupervised Domain Adaption Harnessing Vision-Language Pre-trainingCode1
A Survey of World Models for Autonomous DrivingCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood ForecastingCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language ModelsCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image AnalysisCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
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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