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 11011150 of 6439 papers

TitleStatusHype
Action Segmentation with Joint Self-Supervised Temporal Domain AdaptationCode1
Learning Texture Invariant Representation for Domain Adaptation of Semantic SegmentationCode1
Understanding Self-Training for Gradual Domain AdaptationCode1
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and PracticeCode1
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationCode1
Universal Domain Adaptation through Self SupervisionCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Zero-Resource Cross-Domain Named Entity RecognitionCode1
Few-shot Domain Adaptation by Causal Mechanism TransferCode1
CO-Optimal TransportCode1
Domain Adaptation as a Problem of Inference on Graphical ModelsCode1
Geometric Dataset Distances via Optimal TransportCode1
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image SegmentationCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
Syn2Real: Forgery Classification via Unsupervised Domain AdaptationCode1
Multi-Modal Domain Adaptation for Fine-Grained Action RecognitionCode1
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch NormalizationCode1
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Incremental Unsupervised Domain-Adversarial Training of Neural NetworksCode1
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault DiagnosisCode1
Adversarial-Learned Loss for Domain AdaptationCode1
Margin-aware Adversarial Domain Adaptation with Optimal TransportCode1
Dual Adversarial Domain AdaptationCode1
HoMM: Higher-order Moment Matching for Unsupervised Domain AdaptationCode1
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures TranslationCode1
Unsupervised Scene Adaptation with Memory Regularization in vivoCode1
Simulating Content Consistent Vehicle Datasets with Attribute DescentCode1
Learning from Synthetic AnimalsCode1
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
Open Cross-Domain Visual SearchCode1
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised LearningCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question AnsweringCode1
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud RepresentationCode1
Generalization through Memorization: Nearest Neighbor Language ModelsCode1
Masked Language Model ScoringCode1
Multi-source Domain Adaptation for Semantic SegmentationCode1
Learning Generalisable Omni-Scale Representations for Person Re-IdentificationCode1
Bayesian Meta-Learning for the Few-Shot Setting via Deep KernelsCode1
Wasserstein-2 Generative NetworksCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
Confidence Regularized Self-TrainingCode1
Temporal Attentive Alignment for Large-Scale Video Domain AdaptationCode1
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNsCode1
DANE: Domain Adaptive Network EmbeddingCode1
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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