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 551600 of 1951 papers

TitleStatusHype
Multi-Prompt Alignment for Multi-Source Unsupervised Domain AdaptationCode0
Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman ProcessCode0
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Multichannel Semantic Segmentation with Unsupervised Domain AdaptationCode0
Multinomial Adversarial Networks for Multi-Domain Text ClassificationCode0
Multi-source Domain Adaptation for Panoramic Semantic SegmentationCode0
Cross-Domain Evaluation of a Deep Learning-Based Type Inference SystemCode0
Cross-domain error minimization for unsupervised domain adaptationCode0
Beyond Deterministic Translation for Unsupervised Domain AdaptationCode0
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical ImagesCode0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus ImagesCode0
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document AnalysisCode0
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery VideosCode0
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small DatasetsCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Moment Matching for Multi-Source Domain AdaptationCode0
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain AdaptationCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
A Survey of Unsupervised Deep Domain AdaptationCode0
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain AdaptationCode0
Noise transfer for unsupervised domain adaptation of retinal OCT imagesCode0
Political corpus creation through automatic speech recognition on EU debatesCode0
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic SegmentationCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain AdaptationCode0
Correlation Alignment by Riemannian Metric for Domain AdaptationCode0
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble FusionCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution AlignmentCode0
MC-PanDA: Mask Confidence for Panoptic Domain AdaptationCode0
Cooperative Distribution Alignment via JSD Upper BoundCode0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
Optimal Transport for Conditional Domain Matching and Label ShiftCode0
ACDC: Online Unsupervised Cross-Domain AdaptationCode0
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domainCode0
Mapping conditional distributions for domain adaptation under generalized target shiftCode0
Automatic adaptation of object detectors to new domains using self-trainingCode0
Manifold Criterion Guided Transfer Learning via Intermediate Domain GenerationCode0
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain AdaptationCode0
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
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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