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 751800 of 6439 papers

TitleStatusHype
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Hyperbolic Active Learning for Semantic Segmentation under Domain ShiftCode1
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action RepresentationsCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Adaptive Machine Translation with Large Language ModelsCode1
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for ExplainabilityCode1
Image-Based CLIP-Guided Essence TransferCode1
Domain Adaptation with Auxiliary Target Domain-Oriented ClassifierCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Beyond Model Adaptation at Test Time: A SurveyCode1
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-IDCode1
Improving Multi-Party Dialogue Discourse Parsing via Domain IntegrationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
Incremental Unsupervised Domain-Adversarial Training of Neural NetworksCode1
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
Interactive Learning of Intrinsic and Extrinsic Properties for All-day Semantic SegmentationCode1
Interpretable bilinear attention network with domain adaptation improves drug-target predictionCode1
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic SegmentationCode1
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuningCode1
Joint Disentangling and Adaptation for Cross-Domain Person Re-IdentificationCode1
Bi-Classifier Determinacy Maximization for Unsupervised Domain AdaptationCode1
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven ConversationCode1
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
Kernel methods library for pattern analysis and machine learning in pythonCode1
KL Guided Domain AdaptationCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Knowledge Inheritance for Pre-trained Language ModelsCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Adversarial Bipartite Graph Learning for Video Domain AdaptationCode1
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain AdaptationCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN FeaturesCode1
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
Learning Causal Semantic Representation for Out-of-Distribution PredictionCode1
Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detectionCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
Learning Disentangled Prompts for Compositional Image SynthesisCode1
Learning Distinctive Margin toward Active Domain AdaptationCode1
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentationCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
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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