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 251300 of 6439 papers

TitleStatusHype
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center DatasetCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
Confidence Regularized Self-TrainingCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Conditional Adversarial Domain AdaptationCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Condition-Invariant Semantic SegmentationCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate SegmentationCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt TuningCode1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
DANE: Domain Adaptive Network EmbeddingCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert LinkingCode1
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
Domain Adaptation with Auxiliary Target Domain-Oriented ClassifierCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic SegmentationCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
Adversarial-Learned Loss for Domain AdaptationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
CLUB: A Contrastive Log-ratio Upper Bound of Mutual InformationCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
If your data distribution shifts, use self-learningCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
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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