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 49014950 of 6439 papers

TitleStatusHype
Curriculum Self-Paced Learning for Cross-Domain Object Detection0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation on Reading ComprehensionCode0
Neural Duplicate Question Detection without Labeled Training DataCode0
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation0
The TechQA DatasetCode0
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings0
Relation Adversarial Network for Low Resource Knowledge Graph Completion0
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question AnsweringCode1
Graph Domain Adaptation with Localized Graph Signal Representations0
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud RepresentationCode1
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection0
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks0
Federated Adversarial Domain Adaptation0
Fairness Violations and Mitigation under Covariate Shift0
Domain Adaptation of Document-Level NMT in IWSLT190
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation0
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images0
Air-Writing Translater: A Novel Unsupervised Domain Adaptation Method for Inertia-Trajectory Translation of In-air Handwriting0
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network0
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading ComprehensionCode0
Generalization through Memorization: Nearest Neighbor Language ModelsCode1
Domain Adaptation with BERT-based Domain Classification and Data Selection0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention0
Biomedical Relation Classification by single and multiple source domain adaptation0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT0
Masked Language Model ScoringCode1
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness0
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial LearningCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Cross lingual transfer learning for zero-resource domain adaptation0
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic SegmentationCode0
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network0
Deep causal representation learning for unsupervised domain adaptation0
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document AnalysisCode0
Multi-source Domain Adaptation for Semantic SegmentationCode1
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification0
Reducing Domain Gap by Reducing Style BiasCode0
Cross-Lingual Vision-Language NavigationCode0
Progressive Domain Adaptation for Object DetectionCode0
Instance-Based Model Adaptation For Direct Speech Translation0
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation0
Class-imbalanced Domain Adaptation: An Empirical Odyssey0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation0
Learning GANs and Ensembles Using Discrepancy0
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration0
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation0
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos0
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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