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 23512400 of 6439 papers

TitleStatusHype
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationCode0
Feature-Critic Networks for Heterogeneous Domain GeneralizationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Learning to adapt class-specific features across domains for semantic segmentationCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Feather-Light Fourier Domain Adaptation in Magnetic Resonance ImagingCode0
Enhancing Egocentric 3D Pose Estimation with Third Person ViewsCode0
Fairness meets Cross-Domain Learning: a new perspective on Models and MetricsCode0
CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost MicroscopesCode0
Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation ApproachCode0
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-TrainingCode0
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein EstimatorCode0
Fact Checking Beyond Training SetCode0
Approximating a Target Distribution using Weight QueriesCode0
Enhancing Semi-supervised Domain Adaptation via Effective Target LabelingCode0
FACT: Federated Adversarial Cross TrainingCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Domain Alignment Meets Fully Test-Time AdaptationCode0
Extracting Relationships by Multi-Domain MatchingCode0
Domain Agnostic Real-Valued Specificity PredictionCode0
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain AdaptationCode0
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated ExamplesCode0
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural RepresentationsCode0
FAA-CLIP: Federated Adversarial Adaptation of CLIPCode0
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation TaskCode0
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain AdaptationCode0
Exploring Object Relation in Mean Teacher for Cross-Domain DetectionCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
Lightweight Client-Side Chinese/Japanese Morphological Analyzer Based on Online LearningCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
Domain-Adversarial Neural NetworksCode0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain AdaptationCode0
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose EstimationCode0
Example-based Hypernetworks for Out-of-Distribution GeneralizationCode0
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo MatchingCode0
Experiments with Convolutional Neural Networks for Multi-Label Authorship AttributionCode0
Domain Adaptive Text Style TransferCode0
Estimating Conditional Average Treatment Effects with Missing Treatment InformationCode0
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis EnvironmentsCode0
Event Detection and Domain Adaptation with Convolutional Neural NetworksCode0
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency RegularizationCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Evaluating Tokenizers Impact on OOVs Representation with Transformers ModelsCode0
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision TransformerCode0
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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