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 651700 of 6439 papers

TitleStatusHype
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeCode1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?Code1
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionCode1
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh RecoveryCode1
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled DataCode1
Domain-adaptive Video Deblurring via Test-time BlurringCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
Domain-Adversarial Training of Neural NetworksCode1
Domain Conditioned Adaptation NetworkCode1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris RecognitionCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain AdaptationCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsCode1
Automated Synthetic-to-Real GeneralizationCode1
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image AnalysisCode1
Bi-Classifier Determinacy Maximization for Unsupervised Domain AdaptationCode1
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
DUNIT: Detection-Based Unsupervised Image-to-Image TranslationCode1
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query GenerationCode1
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple DomainsCode1
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic SegmentationCode1
Classifying Constructive CommentsCode1
Dynamic Transfer for Multi-Source Domain AdaptationCode1
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferenceCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Efficient Hierarchical Domain Adaptation for Pretrained Language ModelsCode1
Efficient Nearest Neighbor Language ModelsCode1
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report GenerationCode1
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Era Splitting: Invariant Learning for Decision TreesCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
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
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
Exploring Robustness of Unsupervised Domain Adaptation in Semantic SegmentationCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
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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