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 54515500 of 6439 papers

TitleStatusHype
Test-time Training for Data-efficient UCDRCode0
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point CloudsCode0
TULUN: Transparent and Adaptable Low-resource Machine TranslationCode0
Learning Transferable Features with Deep Adaptation NetworksCode0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
The challenges of temporal alignment on Twitter during crisesCode0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
Learning Unbiased Transferability for Domain Adaptation by Uncertainty ModelingCode0
Domain Adaptation from ScratchCode0
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video PairsCode0
ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial NetworksCode0
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain AdaptationCode0
ReMask: A Robust Information-Masking Approach for Domain Counterfactual GenerationCode0
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-TrainingCode0
A Visual Active Search Framework for Geospatial ExplorationCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Domain Adaptation from Generated Multi-Weather Images for Unsupervised Maritime Object ClassificationCode0
Collaborative and Adversarial Network for Unsupervised Domain AdaptationCode0
Learn to Ignore: Domain Adaptation for Multi-Site MRI AnalysisCode0
Domain Adaptation for Underwater Image EnhancementCode0
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional AdaptationCode0
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process ApproachCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domainCode0
Less Is More: Domain Adaptation with Lottery Ticket for Reading ComprehensionCode0
Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation ModelsCode0
A New PAC-Bayesian Perspective on Domain AdaptationCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Domain Adaptation for Structured Output via Discriminative Patch RepresentationsCode0
Autonomous Cross Domain Adaptation under Extreme Label ScarcityCode0
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationCode0
Written Term Detection Improves Spoken Term DetectionCode0
Reproducibility of "FDA: Fourier Domain Adaptation forSemantic SegmentationCode0
CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost MicroscopesCode0
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low DataCode0
Visual Representations for Semantic Target Driven NavigationCode0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
Domain Adaptation for Semantic Segmentation with Maximum Squares LossCode0
TwitIE: An Open-Source Information Extraction Pipeline for Microblog TextCode0
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood ContextCode0
Automatic Online Multi-Source Domain AdaptationCode0
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-TrainingCode0
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-PromptingCode0
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain AdaptationCode0
Domain Adaptation for Question Answering via Question ClassificationCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain AdaptationCode0
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibrationCode0
Lexically Constrained Decoding for Sequence Generation Using Grid Beam SearchCode0
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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