SOTAVerified

Unsupervised Domain Adaptation

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Papers

Showing 301350 of 1951 papers

TitleStatusHype
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
If your data distribution shifts, use self-learningCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Feature Fusion Transferability Aware Transformer for Unsupervised Domain AdaptationCode1
Federated Adversarial Debiasing for Fair and Transferable RepresentationsCode1
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
FixBi: Bridging Domain Spaces for Unsupervised Domain AdaptationCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain AdaptationCode1
Correlation Alignment for Unsupervised Domain AdaptationCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Gradient Distribution Alignment Certificates Better Adversarial Domain AdaptationCode1
Adversarial Discriminative Domain AdaptationCode1
Condition-Invariant Semantic SegmentationCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Improving Transferability for Domain Adaptive Detection TransformersCode1
Confidence Regularized Self-TrainingCode1
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Instance Relation Graph Guided Source-Free Domain Adaptive Object DetectionCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain AdaptationCode1
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain AdaptationCode1
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identificationCode1
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain AdaptationCode1
Learning to Adapt to Evolving DomainsCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
Libri-Adapt: A New Speech Dataset for Unsupervised Domain AdaptationCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain AdaptationCode1
Margin-aware Adversarial Domain Adaptation with Optimal TransportCode1
Dynamic Retraining-Updating Mean Teacher for Source-Free Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP84.4Unverified
2EvoADAmAP84.3Unverified
3LF2mAP83.2Unverified
4AWBmAP80.6Unverified
5CCTSEmAP78.4Unverified
6SpCLmAP76.7Unverified
7MMTmAP71.2Unverified
8SDAmAP70Unverified
9AD-ClustermAP68.3Unverified
10ECN++mAP63.8Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP74.8Unverified
2LF2mAP73.5Unverified
3CCTSEmAP72.6Unverified
4EvoADAmAP71.4Unverified
5AWBmAP71Unverified
6SpCLmAP68.8Unverified
7MMTmAP65.1Unverified
8SDAmAP61.4Unverified
9SNRmAP58.1Unverified
10ACTmAP54.5Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++(Resnet50+FPN)mAP@0.566.8Unverified
2RT-DATR(640x640, real-time)mAP@0.552.7Unverified
3MRTmAP@0.551.2Unverified
4DDTmAP@0.550Unverified
5MICmAP@0.547.6Unverified
6O2netmAP@0.546.8Unverified
7LGCL (supervised)mAP@0.546.7Unverified
8LGCL (unsupervised)mAP@0.545.3Unverified
9SADmAP@0.545.2Unverified
10AWADAmAP@0.544.8Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy91.4Unverified
2TransAdapter-BAccuracy89.4Unverified
3SAMBAccuracy86.2Unverified
4PDA (CLIP, ViT-B/16)Accuracy85.7Unverified
5SSRT-BAccuracy85.43Unverified
6EUDAAccuracy84.9Unverified
7ProDeAccuracy84.5Unverified
8ECB (CNN)Accuracy81.2Unverified
9CDTransAccuracy80.5Unverified
10JAN [cite:ICML17JAN]Accuracy76.8Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP44.1Unverified
2CORE-ReIDmAP41.9Unverified
3CORE-ReID V2 TinymAP35.8Unverified
4CCTSEmAP33.2Unverified
5UMDAmAP32.7Unverified
6AWBmAP30.6Unverified
7SpClmAP25.4Unverified
8SDAmAP23.2Unverified
9MMTmAP22.9Unverified
10DG-Net++mAP22.1Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 (baseline), BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)65Unverified
2ResNet50 (baseline), BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)62.2Unverified
3ResNet50 + ENTmean Corruption Error (mCE)51.6Unverified
4ResNet50 + RPLmean Corruption Error (mCE)50.5Unverified
5ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)48.4Unverified
6ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)45.4Unverified
7ResNeXt101 32x8d + ENTmean Corruption Error (mCE)44.3Unverified
8ResNeXt101 32x8d + RPLmean Corruption Error (mCE)43.2Unverified
9ResNeXt101 32x8d + IG-3.5B + RPLmean Corruption Error (mCE)40.9Unverified
10ResNeXt101 32x8d + IG-3.5B + ENTmean Corruption Error (mCE)40.8Unverified
#ModelMetricClaimedVerifiedStatus
1MIC+CSImIoU (13 classes)75.9Unverified
2DCFmIoU (13 classes)75.9Unverified
3DIDAmIoU (13 classes)70.1Unverified
4Sepico + HIASTmIoU (13 classes)68.1Unverified
5CLUDA+HRDAmIoU67.2Unverified
6SePiCo (DeepLabv2 ResNet-101)mIoU (13 classes)66.5Unverified
7G2LmIoU (13 classes)64.4Unverified
8DAFormer+CSImIoU61.4Unverified
9FAFSmIoU (13 classes)61.4Unverified
10AdaptSeg + HIASTmIoU (13 classes)60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP49.5Unverified
2MATNet+DMDUmAP49.25Unverified
3MGR-GCLmAP48.73Unverified
4PLMmAP47.37Unverified
5CSP+FCDmAP45.6Unverified
6PALmAP42.04Unverified
7CORE-ReID V2 TinymAP40.17Unverified
8SPCLmAP38.9Unverified
9UDARmAP35.8Unverified
10MMTmAP35.3Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP45.2Unverified
2CCTSEmAP34.5Unverified
3AWBmAP30.7Unverified
4SpCLmAP26.5Unverified
5SDAmAP25.6Unverified
6MMTmAP23.3Unverified
7MMCLmAP16.2Unverified
8ECN++mAP16Unverified
9SSGmAP13.3Unverified
10ECNmAP10.2Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++mAP@0.577.8Unverified
2ALDI-YOLOmAP@0.575Unverified
3MIC(ALDI frame)mAP@0.573.1Unverified
4AT(ALDI frame)mAP@0.572Unverified
5SADA(ALDI frame)mAP@0.571.8Unverified
6PT(ALDI frame)mAP@0.570.6Unverified
7RT-DATR(real-time, 640x640)mAP@0.567.2Unverified
8DDTmAP@0.564Unverified
9MRTmAP@0.562Unverified
10MILAmAP@0.557.4Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP57.99Unverified
2CORE-ReID V2 TinymAP55.14Unverified
3DMDUmAP53.97Unverified
4UDARmAP52.9Unverified
5MGR-GCLmAP47.59Unverified
6PMLmAP46Unverified
7PALmAP45.14Unverified
8MLmAP45Unverified
9VDAFR-143.69Unverified
10CSP+FCDmAP42.7Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP63.02Unverified
2CORE-ReID V2 TinymAP59.69Unverified
3DMDUmAP56.73Unverified
4UDARmAP55.3Unverified
5MGR-GCLmAP50.56Unverified
6PLMmAP49.41Unverified
7MLmAP48.7Unverified