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 15011550 of 1951 papers

TitleStatusHype
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling0
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation0
Unsupervised Domain Adaptation by Uncertain Feature AlignmentCode0
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation0
Learning Target Domain Specific Classifier for Partial Domain Adaptation0
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation via Discriminative Manifold Propagation0
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer0
On Localized Discrepancy for Domain Adaptation0
Hard Class Rectification for Domain AdaptationCode0
Shape Consistent 2D Keypoint Estimation under Domain Shift0
Learning from a Complementary-label Source Domain: Theory and AlgorithmsCode0
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification0
Learning to See in the Dark with Events0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification0
Shuffle and Attend: Video Domain Adaptation0
Multi-Source Open-Set Deep Adversarial Domain Adaptation0
Unsupervised Disentanglement GAN for Domain Adaptive Person Re-Identification0
Domain Adaptive Semantic Segmentation Using Weak Labels0
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain AdaptationCode0
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic SegmentationCode0
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation in the Absence of Source Data0
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching0
Domain2Vec: Domain Embedding for Unsupervised Domain AdaptationCode0
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds0
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation0
Synthetic-to-Real Domain Adaptation for Lane Detection0
Dual Mixup Regularized Learning for Adversarial Domain Adaptation0
Interpreting Stellar Spectra with Unsupervised Domain Adaptation0
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite ImageryCode0
Contextual-Relation Consistent Domain Adaptation for Semantic SegmentationCode0
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation0
Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering0
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal DistributionsCode0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation0
Target Consistency for Domain Adaptation: when Robustness meets Transferability0
Robust Domain Adaptation: Representations, Weights and Inductive Bias0
Unsupervised Sound Separation Using Mixture Invariant Training0
Feature Alignment and Restoration for Domain Generalization and Adaptation0
Unsupervised Vehicle Re-identification with Progressive Adaptation0
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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