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 12011250 of 1951 papers

TitleStatusHype
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox0
Towards Discriminative Representation Learning for Unsupervised Person Re-identification0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation0
Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation0
Towards Model Generalization for Monocular 3D Object Detection0
Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation0
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation0
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation0
Towards Robust Cross-Domain Domain Adaptation for Part-of-Speech Tagging0
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation0
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization0
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning0
Towards Unsupervised Domain Adaptation via Domain-Transformer0
Towards Reusable Network Components by Learning Compatible Representations0
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption0
Transferable Feature Learning on Graphs Across Visual Domains0
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification0
Transferable Query Selection for Active Domain Adaptation0
Transfer Alignment Network for Double Blind Unsupervised Domain Adaptation0
Transfering Low-Frequency Features for Domain Adaptation0
Transfer Joint Matching for Unsupervised Domain Adaptation0
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach0
Transferrable Prototypical Networks for Unsupervised Domain Adaptation0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer0
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation0
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation0
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction0
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation0
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation0
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation0
UMAD: Universal Model Adaptation under Domain and Category Shift0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition0
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval0
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation0
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation0
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation0
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression0
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation0
Uncertainty Reduction for Model Adaptation in Semantic Segmentation0
Understanding and Estimating the Adaptability of Domain-Invariant Representations0
Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective0
Unified Principles For Multi-Source Transfer Learning Under Label Shifts0
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages0
Universal Multi-Source Domain Adaptation0
Universal Person Re-Identification0
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision0
Unsupervised Adaptation of Semantic Segmentation Models without Source Data0
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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
8FAFSmIoU (13 classes)61.4Unverified
9DAFormer+CSImIoU61.4Unverified
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