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
Conditional Adversarial Domain AdaptationCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
Dual Adversarial Domain AdaptationCode1
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood ForecastingCode1
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
Condition-Invariant Semantic SegmentationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple DomainsCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
Dynamic Instance Domain AdaptationCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
Dynamic Transfer for Multi-Source Domain AdaptationCode1
Confidence Regularized Self-TrainingCode1
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
Efficient Hierarchical Domain Adaptation for Pretrained Language ModelsCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image SegmentationCode1
Era Splitting: Invariant Learning for Decision TreesCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Estimating Generalization under Distribution Shifts via Domain-Invariant RepresentationsCode1
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object DetectorCode1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Contrastive Test-Time AdaptationCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Exploring Sequence Feature Alignment for Domain Adaptive Detection TransformersCode1
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
Deep Domain Confusion: Maximizing for Domain InvarianceCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Contrastive Vicinal Space for Unsupervised Domain AdaptationCode1
Fact or Fiction: Verifying Scientific ClaimsCode1
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh RecoveryCode1
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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