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 51015150 of 6439 papers

TitleStatusHype
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation0
Discriminative Label Consistent Domain Adaptation0
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation0
Discriminative Partial Domain Adversarial Network0
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation0
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis0
Disentangled cyclic reconstruction for domain adaptation0
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation0
Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks0
Disfluency Detection with Unlabeled Data and Small BERT Models0
Disjoint Label Space Transfer Learning with Common Factorised Space0
Disparity-Aware Domain Adaptation in Stereo Image Restoration0
Dispensed Transformer Network for Unsupervised Domain Adaptation0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation0
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment0
Distributionally Robust Domain Adaptation0
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach0
Distributionally Robust Learning for Unsupervised Domain Adaptation0
Distribution Matching Prototypical Network for Unsupervised Domain Adaptation0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding0
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images0
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation0
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms0
Δ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions0
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey0
Domain Adaptation and Transfer Learning in StochasticNets0
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network0
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis0
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities0
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding0
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search0
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors0
Domain Adaptation by Topology Regularization0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts0
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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