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
Generalizable Face Landmarking Guided by Conditional Face WarpingCode1
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Continuously Indexed Domain AdaptationCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Generalized End-to-End Loss for Speaker VerificationCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Domain Adaptation under Open Set Label ShiftCode1
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-ExtractionCode1
Contrastive Adaptation Network for Unsupervised Domain AdaptationCode1
Domain Adaptation with Adversarial Training on Penultimate ActivationsCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point CloudsCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Automated Synthetic-to-Real GeneralizationCode1
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image AnalysisCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Contrastive Vicinal Space for Unsupervised Domain AdaptationCode1
Contrastive Test-Time AdaptationCode1
Controlling Directions Orthogonal to a ClassifierCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Action Segmentation with Joint Self-Supervised Temporal Domain AdaptationCode1
Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object DetectionCode1
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-TuningCode1
Copy Is All You NeedCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
CoSDA: Continual Source-Free Domain AdaptationCode1
Correlation Alignment for Unsupervised Domain AdaptationCode1
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Cross-Domain Adaptive Clustering for Semi-Supervised Domain AdaptationCode1
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIsCode1
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain AdaptationCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures TranslationCode1
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather ConditionCode1
High-Resolution Remote Sensing Bitemporal Image Change Detection Based on Feature Interaction and Multitask LearningCode1
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRECode1
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
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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