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 10511100 of 6439 papers

TitleStatusHype
Conditional Adversarial Domain AdaptationCode1
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
Continuously Index Domain AdaptationCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object DetectionCode1
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object DetectionCode1
Domain Adaptation with Auxiliary Target Domain-Oriented ClassifierCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
Condition-Invariant Semantic SegmentationCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Adversarial Discriminative Domain AdaptationCode1
CO-Optimal TransportCode1
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-TuningCode1
Copy Is All You NeedCode1
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentCode1
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain AdaptationCode1
CoSDA: Continual Source-Free Domain AdaptationCode1
Correlation Alignment for Unsupervised Domain AdaptationCode1
IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream TasksCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN FeaturesCode1
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identificationCode1
Cross-domain Detection via Graph-induced Prototype AlignmentCode1
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation networkCode1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
Cross-category Video Highlight Detection via Set-based LearningCode1
Cross-Domain Adaptive Clustering for Semi-Supervised Domain AdaptationCode1
Learning Disentangled Semantic Representation for Domain AdaptationCode1
Learning Distinctive Margin toward Active Domain AdaptationCode1
Cross-Domain and Disentangled Face Manipulation with 3D GuidanceCode1
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial ImagesCode1
Learning Generalisable Omni-Scale Representations for Person Re-IdentificationCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Joint Disentangling and Adaptation for Cross-Domain Person Re-IdentificationCode1
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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